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applications engineer - robotics / weld tooling Jobs in New York

applications engineer robotics weld tooling

Rensselaer Polytechnic Institute

<div>Who we are
Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.
Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.
<div>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.
Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.
</div><div><div><div>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.
</div></div></div><div>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.
</div>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.
Are you ready to change the world? Apply now!
Job Summary
Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.
Qualifications
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul>Pay transparency data:
Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.
Postdoctoral Research Associate: $62,354 - $65,000 / yr
 
Research Associate: $64,000 - $66,000 / yr
 
Research Scientist: $66,000 - $95,000 / yr
 
Sr. Research Scientist: $80,000 - $138,000 / yr
 
***
Research Specialist $18.00 - $26.44 / hr
 
Sr. Research Specialist $62,354 - 66,000 / yr
 
***
Research Engineer: $66,000 - $86,000 / yr
 
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
 
***
Research Assistant: $16.00 - $22.00 / hr
Application instructions 
Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter
If you need assistance with the online application process, please contact careers@rpi.edu
Job Posted Date
Applications will be accepted until the position is filled.
Total Compensation and Benefits Information
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div> 
</div><div>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</div> 
#LI-DNI</div>

Materials & Manufacturing Researchers

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Machine Learning Engineer, Card Tech

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.
Job responsibilities<div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul>
Required qualifications, capabilities, and skills<div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul>
<div>Preferred qualifications, capabilities, and skills</div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive. 
<div></div> 
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

Elliptic

<div>Do you want to help define the future of finance?
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.<h2 class="jobSectionHeader"> 
The impact you will have</h2>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Write, ship, and maintain production code as a hands-on engineer.</li><li>
Architect, design, and implement large-scale distributed data systems and pipelines.</li><li>
Contribute to technical decision-making across batch and streaming data solutions.</li><li>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</li><li>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</li><li>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</li><li>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</li><li>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</li><li>
Help shape the technical roadmap for data engineering across Elliptic.</li><li>
Leverage and deploy AI and agentic systems to operate more effectively.</li></ul><h2 class="jobSectionHeader"> 
Tech environment</h2>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming<h2 class="jobSectionHeader">
You will thrive here if you</h2><ul><li>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</li><li>
Strive for engineering excellence and scalable, sustainable systems.</li><li>
Use data and experimentation to guide decisions.</li><li>
Communicate openly and collaborate across teams.</li><li>
Support and coach less-experienced engineers.</li><li>
Believe every challenge is an opportunity to simplify and innovate together.</li><li>
Enjoy working with AI to benefit the company, your team and yourself.</li></ul><h2 class="jobSectionHeader"> 
What we are looking for</h2><ul><li>
Hands-on production experience with Scala and functional programming.</li><li>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</li><li>
Hands-on experience with big data frameworks such as Spark or Databricks.</li><li>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</li><li>
Judgement to balance scalability, performance, and maintainability.</li><li>
Experience with data modelling and workflow orchestration.</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Experience in stream processing frameworks and event-driven architecture.</li><li>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</li><li>
Experience working in containerised environments (Docker, Kubernetes).</li><li>
Interest in AI-driven tooling for engineering workflows.</li><li>
Interest in crypto and blockchain technologies.</li></ul>
How we work:<ul><li>
Hybrid working: The option to work from almost anywhere for up to 90 days per year.</li><li>
Remote Work Budget: $650 budget to set up your home office space.</li></ul>
Learning &amp; Development:<ul><li>
L&amp;D Budget: $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</li></ul>
Vacation / Leave:<ul><li>
Holidays: 25 days of annual leave + US Public Holidays.</li><li>
Birthday Leave: An extra day off for your birthday.</li><li>
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</li></ul>
Benefits:<ul><li>
Healthcare: Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</li><li>
401k: Company match included.</li><li>
Mental Health: Full access to Spill mental health support.</li></ul> 
 
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. 
 
No recruitment agencies please!
Compensation Range: $165K - $305K</div>

Senior Software Engineer - Data

<div>JOB DESCRIPTION 
 
 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities<div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</div></li></ul></div><div><ul><li><div>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</div></li></ul></div></div>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
</li></ul><div>Preferred qualifications, capabilities, and skills</div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
ABOUT US 
 
 
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM
 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Sr Lead Software Engineer:Java/AI

Butterfly Network

<div><h2 class="jobSectionHeader">Company Description</h2>

Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip&trade; semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market &ndash; commercializing the world's first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3&trade;. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI&trade;) and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden&trade;, its software development kit and AI partnership initiative.

In addition to its medical imaging products, Butterfly Embedded&trade; is the Company's Ultrasound-on-Chip&trade; licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded&trade;, partners can build and scale novel ultrasound applications powered by Butterfly's proprietary semiconductor chip and software platform. Butterfly's innovations have been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions and Fast Company's World Changing Ideas, among other achievements.

We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together!
<h2 class="jobSectionHeader">
Job Description</h2>

We're looking for a Staff Site Reliability Engineer to raise the bar for how we observe and operate our production cloud platform. Our cloud platform powers clinical workflows on top of one of the largest ultrasound image repositories in the world. In this role you'll be a hands-on technical contributor who leads by execution.
<h2 class="jobSectionHeader">
What you'll do</h2>
<ul><li>Own observability end to end. Evolve and streamline our metrics, logs, and distributed-tracing strategy. Building telemetry standards that give every team a clear, real-time picture of production health</li>
<li>Drive reliability through SLOs. Establish meaningful service-level objectives with product and engineering teams, and use error budgets to balance velocity against stability.</li>
<li>Lead incident response. Help set the standards for our incident response feedback loop. Manage the on-call rotations for production systems, respond to incidents with calm and rigor, manage blameless postmortems &ndash; then systematically reduce toil.</li>
<li>Engineer for reliability. Operate and improve our Kubernetes/EKS workloads on AWS. Build automation and tooling that removes manual operational work and improves developer productivity.</li>
<li>Be a force multiplier. Mentor engineers on operational excellence, set standards for how services are built to be observable and reliable, and influence architecture decisions across teams.</li>
</ul><h2 class="jobSectionHeader">Qualifications</h2>

Baseline skills/experiences/attributes:
<ul>
<li>8+ years of managing production systems</li>
<li>Deep, hands-on production experience with AWS and Kubernetes</li>
<li>Strong programming/scripting skills and experience building operational automation</li>
<li>Proven ownership of a full stack observability platform (NewRelic/Datadog/etc)</li>
<li>A track record of leading incident response and delivering improvements in reliability</li>
<li>Clear written and verbal communication skills</li>
<li>Strong desire for being a mentor to others</li>
</ul>
Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):
<ul>
<li>Background operating in a highly regulated or compliance-sensitive environment (e.g., HIPAA, SOC 2, FedRAMP, SaMD, etc).</li>
<li>Background in technical Healthcare Protocols (DICOM, HL7, FHIR) and systems integrations (PACS, VNA, EMR, etc)</li>
</ul><h2 class="jobSectionHeader">Values</h2>

Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in&hellip;
<ul>
<li>Patient-Centric Innovators: Our mission is THE mission.</li>
<li>Empowered to Impact: Every voice matters.</li>
<li>One Team, One Goal: Unity fuels progress.</li>
<li>Growth Champions: We embrace challenges.</li>
<li>Action-Oriented Achievers: We follow through, every time.</li></ul> 

<h2 class="jobSectionHeader">
Location</h2>

Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.

This is a hybrid position (2 - 3 days a week in office) and will be based out of our office in New York City, NY. 
<h2 class="jobSectionHeader">
Benefits and Perks</h2>
<ul><li>Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis.</li>
<li>Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs.</li>
<li>401k plan and match - we facilitate your retirement goals.</li>
<li>Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP)</li>
<li>Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact</li>
<li>Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work</li>
<li>Competitive salaried compensation - we value our employees and show it</li>
<li>Equity - we want every employee to be a stakeholder</li>
<li>The opportunity to build a revolutionary healthcare product and save millions of lives!</li></ul> 


Compensation

Our estimated salary for this role based in NYC is around $190,000 - $210,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. 
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.

Butterfly Network does not accept agency resumes.

Butterfly Network is an E-Verify Company.

Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.

Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedur 


#LI-KG

#KG-LI</div>

Staff , Site Reliability Engineer - Cloud Platform

Blackstone

<div>Blackstone is the world&rsquo;s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone&rsquo;s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram.
Blackstone Technology and Innovations (BXTI) is the technology team at the core of each of Blackstone&rsquo;s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies. 
BXTI is fast paced and entrepreneurial &ndash; our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge. 
Your Team and Role:
Blackstone's Security Engineering (SecEng) team is responsible for securing the firm's software, cloud, AI, and platform ecosystems through scalable controls, developer enablement, and secure-by-design engineering practices.
We are seeking a Security Engineering Manager to lead Blackstone's Application Security program. This individual will be responsible for managing a team of security engineers and driving the strategy, execution, and continuous improvement of application and product security capabilities across the firm.
The role partners closely with Software Engineering, Platform Engineering, Cloud Infrastructure, Security Operations, Data Science, and Technology Leadership teams to ensure security is embedded throughout the software development lifecycle.
The Application Security team performs security design reviews, technical security reviews, secure code reviews, penetration testing, vulnerability management, software supply chain security, developer security enablement, and AI security assessments. The team also develops and operates internally built security tooling that enables secure software delivery at scale.
The ideal candidate combines strong technical depth in application security with proven leadership experience managing engineers, driving security programs, and influencing stakeholders across a large enterprise environment. 
Responsibilities:<ul><li>
Lead and manage Blackstone's Application Security team, providing technical leadership, mentoring, career development, and performance management.</li><li>
Own the Application Security program roadmap, strategy, and execution across software, cloud-native, and AI-enabled platforms.</li><li>
Oversee Security Design Reviews (SDRs), Technical Security Reviews (TSRs), Source Code Reviews (SCRs), Vulnerability Disclosure, penetration testing activities, and vulnerability remediation programs.</li><li>
Partner with engineering organizations to embed security controls and secure-by-design principles throughout the software development lifecycle.</li><li>
Drive adoption of secure development practices including static analysis, software composition analysis (SCA), SAST, secret scanning, CI/CD security controls, and policy enforcement.</li><li>
Lead software supply chain security initiatives, including dependency management, artifact security, and build pipeline protections.</li><li>
Establish security standards, reference architectures, and guardrails for cloud-native applications, AI-enabled systems, APIs, and platform services.</li><li>
Support security architecture reviews for AWS, Kubernetes, containers, Infrastructure-as-Code, and modern developer platforms.</li><li>
Drive vulnerability reduction programs and risk remediation efforts across application portfolios.</li><li>
Partner with Security Operations, Infrastructure Security, IAM, and Incident Response teams during investigations involving application or software security risks.</li><li>
Evaluate emerging security technologies and lead vendor assessments, proof-of-concepts, and strategic security tooling decisions.</li><li>
Develop metrics, reporting, and KPIs that demonstrate risk reduction and program effectiveness.</li><li>
Present findings, risks, and strategic recommendations to technology leadership, audit stakeholders, and senior management.</li><li>
Stay current on emerging threats, secure development practices, AI security risks, and regulatory requirements.</li></ul>
Qualifications:<ul><li>
8+ years of experience in application security, product security, software engineering, or security engineering.</li><li>
3+ years of experience managing security engineers or leading security engineering teams.</li><li>
Deep understanding of application security principles, secure software development lifecycles, threat modeling, vulnerability management, and secure architecture design.</li><li>
Experience conducting security design reviews, code reviews, penetration testing, and security assessments for modern software platforms.</li><li>
Experience securing cloud-native architectures, preferably AWS.</li><li>
Experience with CI/CD pipelines, developer platforms, Infrastructure-as-Code, and modern software delivery practices.</li><li>
Experience with application security tooling including SAST, SCA, DAST, secrets scanning, and developer security platforms.</li><li>
Strong communication skills with the experience influencing engineering and business stakeholders.</li><li>
Experience securing AI/ML platforms, LLM-enabled applications, or data-driven systems.</li><li>
Experience with Kubernetes, containers, APIs, and microservice architectures.</li><li>
Experience leading software supply chain security initiatives.</li><li>
A minimum of Bachelor&rsquo;s degree (or foreign equivalent) in Computer Science, Cybersecurity, Engineering, or a related field</li></ul> 
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
Expected annual base salary range:
$175,000 - $250,000
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables. 
 
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone&rsquo;s sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:<ul><li>
Attending client meetings where you are discussing Blackstone products and/or and client questions;
</li><li>Marketing Blackstone funds to new or existing clients;
</li><li>Supervising or training securities licensed employees;
</li><li>Structuring or creating Blackstone funds/products; and</li><li>
Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.
</li></ul>Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. 
 
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered &quot;prefer not to say&quot;). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.</div>

Security Engineer Manager, SVP – Application & Product Security

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