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senior staff engineer data engineering architecture

Ripple

<div><div><p>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.</p>
<p>
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</p></div><p>
At Ripple, we're building a world where value moves like information does today. It's big and bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments, and developers, we improve the global financial system. We craft greater economic fairness and opportunity for more people in more places globally. We perform the best work of our careers and develop our skills with colleagues who have our backs.</p>
<p>
If you're ready to see your impact and embrace meaningful new challenges, join us, and build real world value.</p>
<p><b>
The Work:</b></p>
<p>
We're seeking a Senior Staff Engineer to act as the technical architect and strategic leader for Ripple's data platform. This role is one of the highest-impact individual contributor positions on the Data team. You will build a coherent, unified view of Ripple's data across all business units. You will establish the definitive source of truth for company metrics and lead our &quot;AI for Data&quot; transformation. You will collaborate across data teams and work directly with senior leadership in Data, Product, Engineering, and Go-to-Market to develop how Ripple understands itself through data. You won't just build systems; you will define the technical vision that connects them. This sits at the intersection of architecture, integration, governance, and applied AI.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Build &quot;One View&quot; of Ripple by serving as the main architect for a Unified Data Fabric. Construct a well-rounded view of Ripple's data platforms, pipelines, and tools. Craft the systems and interoperability standards that bring data together across all business units for leadership, product, and GTM teams.</li>
<li>Compose and build the Ripple Metrics Store, a definitive, governed layer that serves as the single source of truth for business metrics across all business units.</li>
<li>Define metrics governance, ownership models, and validation frameworks. Build and maintain the Metrics Glossary in partnership with the Data Science team, and collaborators crafting a shared language for how Ripple measures its business.</li>
<li>Define and lead the AI roadmap for the Data organization setting the vision for how AI transforms the way Ripple builds, governs, and consumes data.</li>
<li>Enable conversational analytics and intelligence by architecting AI Agents that allow non-technical collaborators to self-serve insights directly from the data platform.</li>
<li>Automate data engineering workflows by encouraging use of AI-powered coding assistants for SQL/ETL generation. Define the standards, validation frameworks, and guidelines for AI-generated code across the team.</li>
<li>Lead cross-team build reviews, setting the technical bar for data architecture decisions across the organization.</li>
<li>Mentor and up-level engineers across data teams, raising the standard for system building, code quality, and engineering rigor.</li>
<li>Act as the main technical consultant to senior leadership across Data, Product, and Engineering regarding long-term technical bets, platform investments, and build-vs-buy decisions.</li>
</ul>
<p><b>What you'll bring:</b></p>
<ul>
<li>14+ years of experience in data engineering, data architecture, or related software engineering fields, with a significant portion spent in senior technical leadership or architect roles.</li>
<li>Having a track record of bringing together data ecosystems from multiple business units, you have built the connections that convert isolated data platforms into a consistent entity.</li>
<li>Deep expertise in modern data architecture, data mesh, lakehouse patterns, with hands-on experience in technologies like Spark, Kafka, Airflow, dBT, Databricks, and cloud-native data services (AWS, GCP, or Azure).</li>
<li>Experienced in metrics governance and semantic layers, you have established or planned metrics stores, business glossaries, or comparable systems that provide an organization's source of truth.</li>
<li>Demonstrated experience with AI/ML in data engineering contexts, whether building feature stores, deploying AI-powered data quality monitoring, integrating LLMs into developer workflows, or crafting agentic systems for data operations.</li>
<li>Architectural vision paired with execution ability, you can whiteboard a multi-year platform strategy and also get into the code to prototype critical path components.</li>
<li>With outstanding communication and influence skills, you comfortably present to VP/C-level audiences. You translate technical trade-offs into business language and build consensus among teams with competing priorities.</li>
<li>A collaborative, ego-free approach to leadership, you lead through influence and technical credibility, not through title.</li>
<li>Experience with blockchain data, on-chain analytics, or large-scale financial/payments data is a plus.</li>
<li>Direct involvement with LLM-enabled developer tools and agents, AI code synthesis, RAG-style data catalogs, natural language querying interfaces, or agent orchestration solutions is beneficial.</li>
<li>BS or equivalent experience in Computer Science or similar.</li>
</ul><p></p><div>
<p><b>WHO WE ARE:</b></p>
<p>
Do Your Best Work</p>
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
<p>Take Control of Your Finances</p>
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
<p>Take Care of Yourself</p>
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
<p><i>Benefits listed above are for full-time employees.</i></p>
<p></p>
<div><i>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</i></div>
<div></div>
<div><i>Please find our </i><i>UK/EU Applicant Privacy Notice </i><i>and our </i><i>California Applicant Privacy Notice</i><i> for reference.</i></div></div></div><p></p>

Senior Staff Engineer — Data Engineering & Architecture

PARASAIL

<div><div><p>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a <b>fast, cost-efficient, and scalable</b> cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</p></div><div><h3 class="jobSectionHeader"><b>
Job Description</b></h3>
<p>
The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.</p>
<h3 class="jobSectionHeader"><b>
Technical Abilities</b></h3>
<ul>
<li><p><b>Microservice Architecture:</b> Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.</p>
</li>
<li><p><b>Backend Development:</b> Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.</p>
</li>
<li><p><b>Programming Languages &amp; Frameworks:</b> Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.</p>
</li>
<li><p><b>Distributed Systems:</b> Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.</p>
</li>
<li><p><b>Cloud-Native Technologies:</b> Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.</p>
</li>
<li><p><b>Large Language Models:</b> Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul>
<li><p>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.</p>
</li>
<li><p>Demonstrated ability to build and secure scalable, high-performance backend.</p>
</li>
<li><p>Hands-on to build brand new system and make end to end work</p>
</li>
<li><p>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.</p>
</li>
<li><p>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>What You Bring to the Table</b></h3>
<p>
This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</p></div></div>

Senior Software Engineer, Distributed Systems

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p>
We are seeking a highly motivated and experienced Software Engineer to join our AML Engineering team at SoFi. The AML Engineering team's mission is to build and support a suite of AML and Risk platforms and services that ensure compliance across all SoFi products, empowering the company to meet regulatory standards while safeguarding customer trust.</p><br>
<p></p>
<p>
The team collaborates closely with cross-functional engineering groups and AML and Risk business units to protect SoFi from compliance risks and ensure regulatory alignment. By proactively identifying and managing potential risks, they help reduce regulatory exposure while providing a balanced, risk-aware experience for SoFi Members, fostering long-term trust and confidence.</p><br>
<p></p>
<p>
As a Software Engineer on our team, you'll be tasked with building critical components and features to support our new greenfield product. You will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, and supporting mission-critical systems. The ideal candidate is someone with a strong sense of ownership and drive for delivery, a hunger for learning and is a good co-worker.</p><br>
<p></p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Full SDLC: Collaborate with cross-functional teams to design, architect, and implement end-to-end solutions that encompass both front-end and back-end components. Utilize your expertise in various programming languages, frameworks, and technologies to deliver high-quality and scalable software applications. Partner with senior engineers in the Anti-Money Laundering function to provide consultancy and translate the business needs to design and develop solutions, techniques, metrics, and dashboards for insights and data visualization.</li>
<li>Back-end Development: Design and develop robust, scalable, and secure server-side applications and APIs. Work with databases and data models to manage and store information effectively. Build and maintain scalable data pipelines to support efficient data processing and analysis. Optimize performance and maintain system stability.</li>
<li>Architecture and Design: Participate in architecture discussions and provide valuable insights to drive technical decisions. Ensure that software design patterns and best practices are followed throughout the development process.</li>
<li>Testing and Quality Assurance: Conduct thorough testing of software components, including unit testing, integration testing, and end-to-end testing, to ensure the reliability and functionality of the applications.</li>
<li>Continuous Improvement: Keep abreast of industry trends, best practices, and emerging technologies in software development. Advocate for process improvements and adopt new tools and technologies to enhance productivity and efficiency.</li>
<li>Documentation: Create and maintain technical documentation for developed software, APIs, and processes to ensure comprehensive understanding and knowledge transfer.</li></ul><br>
<p></p>
<p><b>
What you'll need:</b></p>
<ul>
<li>Bachelor's Degree, Computer Science Degree, or equivalent from a fully-accredited college or university.</li>
<li>2Also + years of programming experience, ideally on a modern stack.</li>
<li>Strong expertise in at least one back-end technologies and programming languages, such as Java, Kotlin, Springboot, Node.js, Python, C#, Kafka, PostgreSQL, and we run on Kubernetes in a service-oriented architecture with over 100 services in production</li>
<li>Knowledge of RESTful API design and implementation.</li>
<li>Willingness to roll up your sleeves, collaborate with others and get stuff done.</li>
<li>Strong sense of responsibility and ownership, driving a task from inception to completion.</li>
<li>Affinity for solving problems and diving deep into the details.</li>
<li>Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests.</li>
<li>Excellent communication and collaboration skills.</li></ul><br>
<p></p>
<p><b>
Nice to have:</b></p>
<ul>
<li>Experience scaling highly available, mission-critical systems.</li>
<li>Test-driven development along with unit and integration testing.</li>
<li>Front end experience.</li></ul><p></p><div><div><b><br>
Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Software Engineer, Commercial Banking

Lumina Tech Group

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We partner with hundreds of high-growth companies to build tools that solve complex problems at scale.
 </p>
 <p>
  We&rsquo;re looking for a product-minded engineer to help build impactful products used by thousands of users. This is an opportunity to work on systems that influence one of the largest markets in the world.
 </p>
 <p>
  You&rsquo;ll have end-to-end ownership across product and engineering, working with valuable proprietary datasets to build scalable solutions.
 </p>
 <p>
  <strong>
   What You&rsquo;ll Work On
  </strong>
 </p>
 <ul>
  <li>
   Intelligently matching millions of users and organizations using unique proprietary data
  </li>
  <li>
   Designing incentive systems that improve collaboration and platform engagement
  </li>
  <li>
   Building core tooling to power user workflows, including AI note-taking, email sequencing, browser extensions, and related tools
  </li>
  <li>
   Creating new ways for users to discover opportunities and connections
  </li>
  <li>
   Developing creative strategies to drive marketplace liquidity across industries such as Legal, Finance, and Healthcare
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   Product-minded engineer with strong ownership and execution skills
  </li>
  <li>
   Ability to work across the stack, with a lean toward product engineering
  </li>
  <li>
   Strong problem-solving ability, sound judgment, and high EQ
  </li>
  <li>
   Interest in building user-facing products in a fast-moving environment
  </li>
  <li>
   Excited by startup intensity and the opportunity to help scale both product and team
  </li>
 </ul>
 <p>
  <strong>
   Team &amp; Opportunity
  </strong>
 </p>
 <ul>
  <li>
   Small, high-talent-density engineering team with plans to grow significantly
  </li>
  <li>
   Open to both junior and senior candidates
  </li>
  <li>
   Looking for engineers who can contribute to both building product and shaping culture
  </li>
  <li>
   High ownership environment with direct impact on company growth and product direction
  </li>
 </ul>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <ul>
  <li>
   Salary:
   <strong>
    $150,000 &ndash; $275,000
   </strong>
  </li>
  <li>
   Competitive equity
  </li>
  <li>
   Relocation support available
  </li>
  <li>
   Visa sponsorship on a case-by-case basis
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Gym membership
  </li>
  <li>
   Global offsites
  </li>
  <li>
   Meals covered
  </li>
 </ul>
 <p>
  <strong>
   Location
  </strong>
 </p>
 <ul>
  <li>
   Onsite in
   <strong>
    San Francisco
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Why Join
  </strong>
 </p>
 <ul>
  <li>
   Build impactful products powered by AI and large-scale data
  </li>
  <li>
   Join a lean engineering team where individual impact is high
  </li>
  <li>
   Work on meaningful user problems at the intersection of software, marketplaces, and modern infrastructure
  </li>
 </ul>
 <p>
 </p>
</div>


Software Engineer

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p>
The Role</p>
<p>
We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.
</p><p>On our team, you will be in the middle of it all &ndash; implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.</p>
<p>
At SoFi, you'll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members' financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.</p>
<p>
Key responsibilities</p>
<ul>
<li>Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.</li>
<li>Debug and resolve complex systems issues in high-scale, real-time services.</li>
<li>Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.</li>
<li>Shape the technical architecture across SoFi's crypto stack &mdash; wallets, custody, trading, and beyond.</li>
<li>Drive new ideas and technical strategies that push our crypto offerings forward.</li>
<li>Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.</li>
<li>Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.</li>
<li>Collaborate across teams to deliver reusable crypto services and integrate with SoFi's broader platform.</li>
<li>Mentor engineers and contribute to a culture of technical growth and curiosity.</li>
<li>Lead discussions, reviews, and decisions across teams and with senior technical leadership.</li>
<li>Make smart, pragmatic decisions that balance speed and quality.</li>
<li>Stay curious &mdash; constantly learning new tools, protocols, and patterns in the evolving crypto space.</li>
<li>Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.</li>
</ul>
<p>What you'll need</p>
<ul>
<li>8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.</li>
<li>Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications</li>
<li>Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases</li>
<li>Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.</li>
<li>Experience with public cloud infrastructure</li>
<li>Excellent verbal and written communication skills and working with stakeholders across disciplines</li>
<li>Understanding of blockchain fundamentals and distributed ledger technologies</li>
<li>Familiarity with digital assets across major chains (Bitcoin, Etherium, &hellip;)</li>
<li>Hands-on experience with smart contracts is a plus</li>
<li>Familiarity with custody, settlement, and clearing of crypto transactions</li>
<li>Experience with security and best practices for wallet management</li>
<li>Exposure to crypto trading platforms, market data, and DeFi protocols</li>
<li>Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)</li>
<li>Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions</li>
<li>Prior work in or collaboration with crypto-native companies or fintechs</li>
<li>Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services</li>
</ul><div><div><b>Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Senior Staff Software Engineer, Crypto

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join the next revolution in robotics at Amazon's Frontier AI &amp; Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming innovative research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.<br>
<br>
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.<br>
<br>
Key job responsibilities<br>
<ul><li>Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools</li><li>Collaborate closely with scientists to influence model architectures for optimal hardware utilization</li><li>Design and implement efficient compilation pipelines for complex transformer architectures</li><li>Develop comprehensive benchmarking frameworks to measure and optimize model performance</li><li>Build robust monitoring solutions to ensure reliable model serving at scale</li><li>Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers</li><li>Maintain high engineering standards through proper testing, documentation, and code review practices</li></ul><br>
A day in the life<br>
<ul><li>Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques</li><li>Partner with scientists to analyze model architectures and propose efficiency improvements</li><li>Implement and benchmark various optimization strategies for large-scale models</li><li>Debug performance bottlenecks using NVIDIA profiling tools</li><li>Participate in technical discussions about new model architectures with the science team</li><li>Design and maintain performance monitoring systems for production deployment</li><li>Prototype new acceleration approaches using emerging compilation frameworks</li></ul><br>
About the team<br>
At Frontier AI &amp; Robotics, we're not just advancing robotics &ndash; we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.<br>
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence &ndash; from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.<br>
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Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Strong expertise in Python, C++ and CUDA programming</li><li>Experience with TensorRT or similar ML optimization frameworks</li><li>Track record of optimizing ML models for production</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)</li><li>Experience with ML compilers (ONNX Runtime, TVM, etc.)</li><li>Experience with transformer model optimization</li><li>Background in performance profiling and optimization</li><li>Experience working directly with research teams</li><li>Track record of building robust monitoring systems</li><li>Experience with large-scale ML serving systems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Frontier AI & Robotics

Apple

<p>Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there&rsquo;s no telling what you could accomplish. The people here at Apple don&rsquo;t just create products, they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.<br>
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<b>Description</b><br>
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Join our team and help us build intelligent, scalable solutions. You'll be at the forefront, architecting, designing, and implementing highly available enterprise solutions that truly match Apple's scale. We are working on a developer experience platform for internal use to assist our app development teams accelerate their SDLC. The role focuses on enhancing existing Java based frameworks and development tools for code modernization by combining LLM's with engineering practices to drive higher developer productivity. You will collaborate with other software engineers, and other data scientists to deliver end to end solutions for this platform. If you're excited about shaping impactful solutions in a collaborative, experiment-driven environment, this role is for you.&quot;,&quot;responsibilities&quot;:&quot;The senior level Java engineer will have a robust understanding of micro-services and Generative AI to join our team.<br>
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You will help design, implement, and maintain code mostly in Java, with the flexibility to work in other languages to meet project needs.<br>
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This role involves integrating with various enterprise services including, LLMs and adding Gen AI capabilities.<br>
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You would support our mission by applying groundbreaking research in this rapidly evolving and exciting space, to our daily work.<br>
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<b>Preferred Qualifications</b><br>
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Experience with using and developing OpenRewrite recipes.<br>
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Experience leading and mentoring engineers.<br>
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Experience building agent-based systems and agentic workflows.<br>
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Solid understanding of data modeling and database systems including PostgreSQL, MongoDB, &amp; other NOSQL technologies.<br>
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Experience with cloud platforms (AWS, GCP), CI/CD, and container orchestration e.g Kubernetes.<br>
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Experience building applications with Java and J2EE/Jakarta EE related technologies - Spring Framework, Spring Boot.<br>
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<b>Minimum Qualifications</b><br>
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Bachelors in Computer Science or equivalent experience.<br>
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3+ years of proven experience developing and maintaining production services using Java and the Spring Framework / Spring Boot.<br>
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5+ years experience building large scale distributed systems.<br>
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5+ years leading software design &amp; architecture.<br>
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2+ years programming with Python.<br>
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Experience working with AI, such as building MCP servers, designing prompts &amp; integrating LLMs.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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<b>Pay &amp; Benefits</b><br>
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr Software Engineer, AI & Data Platforms (AiDP)

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