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kubernetes development engineer

full stack software engineer mid level or senior

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p><p>
The Boeing Company is currently seeking a <b>Full Stack Software Engineer</b> to join our Instrumentation and Data Systems (I&amp;DS) team located in <b>Seattle</b>, <b>Washington</b>. This position will focus on supporting the Boeing Test and Evaluation (BT&amp;E) organization.</p><p></p><p>
Join us to build the next generation of data acquisition and processing systems used across Boeing&rsquo;s Lab Test facilities. As a member of the Roc team, you will help develop a greenfield, full-stack, cloud-native platform for ingesting, streaming, processing, and visualizing high-volume sensor and time-series data. Your work will directly impact multiple airplane programs and testing facilities - from wind tunnels to test stands - by delivering critical test data that informs and validates aircraft designs.</p><p></p><p>
The successful candidate will have a proven ability to take projects from concept to production with minimal supervision and will be a fast learner who adapts to new technologies and systems quickly.</p><p></p><p>
You will work on an agile team with high autonomy and end-to-end ownership: design, implement, and ship features from prototype to production; make architectural and technology choices that shape product direction; and engage directly with customers and stakeholders. If you thrive in a technically challenging role with high autonomy and ownership, this is the place to excel.</p><p></p><p>
BTE is looking for a broad range of experience including <b>Mid-Level</b> or <b>Senior</b> Full Stack Software Engineers.</p><p></p><p><b>
Position Responsibilities Include:</b></p><p></p><ul><li><p>
Work with a team of engineers to design, architect, develop, and support a greenfield, distributed, real-time data management platform for storing, streaming, and processing large quantities of sensor data</p></li><li><p>
Develop features across the entire stack, from design to production. Frontend to backend. We use TypeScript, Python, React, Next.js, Node.js, Express, Flask, MongoDB, Redis, PostgreSQL, and Windmill</p></li><li><p>
Design and implement intuitive user experiences for data visualization and analysis</p></li><li><p>
Build clean, well-tested APIs and streaming pipelines for high-throughput time-series data</p></li><li><p>
Interface with data acquisition hardware (transducers, DAQ devices) to pull and process data</p></li><li><p>
Collaborate directly with customers and stakeholders to translate requirements into technical solutions</p></li><li><p>
Provide technical leadership through code reviews, mentorship, architecture design, and operational best practices</p></li><li><p>
Build and maintain deployment, CI/CD, observability, and database infrastructure</p></li><li><p>
Help define team culture, standards, and processes</p></li><li><p>
Help define product roadmap and priorities</p></li></ul><p></p><p><b>
Basic Qualifications (Required Skills/Experience):
</b></p><p></p><ul><li><p>To meet U.S. export control compliance requirements, a &ldquo;US Person&rdquo; as defined by 22 C.F.R. &sect; 120.15 is required. &ldquo;US Person&rdquo; includes US Citizen, lawful permanent resident, refugee, or asylee</p></li><li><p>
Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement</p></li><li><p>
Experience developing web-based applications</p></li><li><p>
Experience with RESTFul APIs</p></li><li><p>
Experience with version control systems such as Git, ClearCase, or Subversion</p></li><li><p>
Experience in both relational and/or non-relational databases technologies</p></li><li><p>
Experience working with containerization technologies</p></li><li><p>
Experience operating in an Agile development environment</p></li></ul><p></p><p><b>
Preferred Qualifications (Desired Skills/Experience):</b></p><p></p><ul><li><p>
7 or more years of related work experience or an equivalent combination of education and experience</p></li><li><p>
Strong proficiency in JavaScript/TypeScript</p></li><li><p>
Experience with relational or non-relational databases (PostgreSQL, MySQL, MongoDB, Redis, or similar)</p></li><li><p>
Significant experience with backend and/or frontend JavaScript/TypeScript frameworks (React, Next.js, tRPC, Node.js, Express, or similar)</p></li><li><p>
Experience building scalable, distributed, full stack microservice applications</p></li><li><p>
Proficient in Python, C/C++, C#, or other programming languages</p></li><li><p>
Comfortable developing and operating on Linux environments</p></li><li><p>
Experience with modern testing practices and tools (TDD, Jest, React Testing Library, Playwright, Cypress, or similar)</p></li><li><p>
Experience with container orchestration platforms (Kubernetes, Tanzu, OpenShift, or similar)</p></li><li><p>
Familiar with continuous integration and deployment platforms (GitLab CI, CircleCI, GitHub Actions, or similar)</p></li><li><p>
Experience with time-series databases (InfluxDB, TimescaleDB, or similar)</p></li><li><p>
Experience with streaming platforms (Apache Kafka, Pulsar, RabbitMQ, NATS, or similar)</p></li><li><p>
Familiar with stream-processing platforms (Apache Spark, Flink, or similar)</p></li><li><p>
Familiar with workflow engines (Apache Airflow, Windmill, Temporal, or similar)</p></li><li><p>
Experience with JavaScript data visualization libraries (Plotly, Chart.js, Apache ECharts, or similar)</p></li><li><p>
Experience with data acquisition and processing systems (transducers, control systems, IoT devices, DAQ hardware, or similar)</p></li><li><p>
Knowledge of design thinking and design systems (Figma, Sketch, or similar)</p></li><li><p>
Familiar with authentication and authorization standards and tools (OAuth 2.0, OpenID Connect, Keycloak, or similar)</p></li></ul><p></p><p><b>
Conflict of Interest:
</b></p><p>Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.</p><p></p><p><b>
Drug Free Workplace:</b></p><p>
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies<i>.</i></p><p></p><p><b>
Union:
</b></p><p>This is a union-represented position.</p><p></p><p><b>
Pay &amp; Benefits:</b></p><p>
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
</p><p></p><p>The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
</p><p></p><p>The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.</p><p></p><p>
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
</p><p></p><p>Summary pay range Mid-Level: $119,850 - $162,150</p><p>
Summary pay range Senior Level: $146,200 - $197,800</p><p><br>
Applications for this position will be accepted until <b>Mar. 31, 2026</b></p><p><b><br>
Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p><p><b>
Export Control Details:
</b></p><p>US based job, US Person required</p><p><b>
Education
</b></p><p>Bachelor's Degree or Equivalent Required</p><p><b>
Relocation
</b></p><p>Relocation assistance is not a negotiable benefit for this position.</p><p><b>
Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p><p><b>
Shift
</b></p><p>This position is for 1st shift</p><p><b><br>
Equal Opportunity Employer:</b></p><p>
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>

Full Stack Software Engineer (Mid-Level or Senior)

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
Health, dental, vision, life, disability insurance<br>
Retirement Benefits: 401(k) with company match<br>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment<br>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)<br>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks<br>
Baby Bonding Leave: 18 weeks<br>
Holidays: 13 paid days per year<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with full stack development, across back-end such as Python, Java or Kotlin.</li>
<li>Experience establishing and implementing data governance frameworks, policies, and standards.</li>
<li>Experience designing and implementing data management strategies and solutions for large-scale datasets.</li>
<li>Experience building and deploying SQL data pipelines.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience with building machine learning models, data pipelines, and feature engineering.</li>
<li>Experience with Google Cloud Platform or other similar cloud technologies.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
As a Software Engineer, you will join our team and focus on the data infrastructure supporting our business efforts. You will be responsible for the design, development, and expanding of data pipelines and tooling. Your work will directly contribute to identifying and surfacing key customer insights from product data to help drive business outcomes. You will use your experience with data systems, and work cross-functionally with Engineering, UX, Product Management, Data Analysts, and Go-to-Market teams.</p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<br>
<p>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p>
<p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li><div>Write product or system development code.</div></li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.<br>
</li>
<li>Develop and manage data pipelines to ingest and process datasets (including product data, marketplace API data) to feed into our ML models.</li>
<li>Provide technical guidance and mentorship to other engineers on the team, fostering best practices in data governance and engineering.</li>
<li>Work closely with Software Engineers, Product Managers, UX Designers, Data Analysts, and Go-to-Market partners (Sales/Marketing) to define requirements, develop solutions, and operationalize models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Data Center Infrastructure Management

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div></div><div><br>
Applicants in Washington: In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li><li>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Seattle, WA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience with software development in C++.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.</li>
<li>Experience with networking concepts and their impact on call performance.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>Experience with WebRTC, QUIC, and audio and video compression.</li>
<li>Experience developing and consuming gRPC services.</li>
<li>Experience programming in Python.</li>
<li>Experience with video codec and compression algorithms.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
<br>
<br>
In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Beam is a true-to-life new communication technology from Google that allows people to feel like they&rsquo;re having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today&rsquo;s leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can&rsquo;t.<div></div><div><br>
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and implement sophisticated rate control algorithms to manage data flow between 3D stations, directly impacting the reliability and visual fidelity of high-fidelity telepresence calls.</li>
<li>Architect and write high-performance C++ code to support and expand Beam&rsquo;s networking stack, integrating modern communication protocols such as Web Real-Time Communication (WebRTC), Quick UDP Internet Connections (QUIC), and gRPC Remote Procedure Calls (gRPC).</li>
<li>Lead the triaging and debugging of complex technical issues that arise during real-time 3D calls, ensuring a seamless and reliable communication experience for users.</li>
<li>Partner with exceptional researchers and cross-functional engineers to translate telepresence research into production-ready software, effectively turning &quot;science fiction into reality&quot;.</li>
<li>Optimize system performance and bandwidth efficiency by leveraging expertise in video codecs and compression, while monitoring stack health using internal monitoring, telemetry, or data collection tools.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, Beam Networking, Google Beam

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

Apple

<p>The Applied Machine Learning team builds production multimodal systems that understand and transform large-scale image, audio, and video content. Our work spans diffusion-based image generation, transcription and diarization, face and object detection, OCR and image description for search, and automated quality control of media pipelines.<br>
<br>
We are looking for a Staff Machine Learning Engineer to strengthen our diffusion and video models, adapt small and mid-sized LLMs, and turn our uniquely large corpus of weakly labeled media into a durable product advantage. This is an opportunity to shape the next generation of multimodal experiences end-to-end, from data and models to evaluation and user impact.<br>
<br>
<b>Description</b><br>
<br>
The Staff Machine Learning Engineer - Multimodal Generation &amp; Post-Training will be a senior individual contributor on a small, applied ML team focused on production multimodal systems. The role will lead fine-tuning and adaptation of diffusion and emerging video models, as well as post-training of small and medium LLMs for captioning, moderation, and retrieval-friendly descriptions.<br>
<br>
The engineer will design data and evaluation workflows that use our large archive of weakly labeled music, podcast, film, TV, and short-form content to drive measurable quality and efficiency improvements. The role includes close collaboration with partner infra teams for model serving and with adjacent product and research groups to bring new capabilities into production.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
PhD in Computer Science, Machine Learning, or a related technical field.<br>
<br>
8+ years of industry experience with production multimodal systems spanning image, audio, and/or video.<br>
<br>
Deep expertise with diffusion and video generation techniques (e.g., ControlNet/IP-Adapter, temporal consistency methods, sampling and latency optimization).<br>
<br>
Experience with PEFT/QLoRA and post-training approaches such as DPO or related preference-based methods for small and mid-sized LLMs.<br>
<br>
Background in ASR/VAD/diarization, OCR, multimodal retrieval, or face recognition with fine-grained temporal alignment.<br>
<br>
Familiarity collaborating with infra/platform teams on model serving (e.g., batching strategies, quantization, observability) and translating requirements into reliable production deployments.<br>
<br>
Demonstrated ability to define metrics, build evaluation harnesses, and communicate results clearly to cross-functional partners.<br>
<br>
Track record of publications, patents, or open-source contributions in relevant areas of machine learning or multimodal modeling.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.<br>
<br>
5+ years of hands-on industry experience building and shipping machine learning systems to production.<br>
<br>
Proven experience training and fine-tuning diffusion or other image/video generative models, including adapter-based methods such as LoRA.<br>
<br>
Proficiency in Python and at least one major deep learning framework such as PyTorch.<br>
<br>
Experience designing and operating ML pipelines for noisy or weakly labeled data, including offline evaluation and monitoring in production.<br>
<br>
Strong software engineering skills, including code quality, experimentation discipline, and debugging/profiling of model performance.<br>
<br>
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>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Staff Machine Learning Engineer, Apple Services Engineering

Cummins

<div><p><b>DESCRIPTION</b></p>
<p>We are looking for a talented <b>Senior Embedded Software Engineer</b> to join our team specializing in <b>Engineering</b> for our Cummins Inc. facility in <b>Seattle, WA.</b></p>
<p><b>In this role, you will make an impact in the following ways:</b></p>
<ul><li>Strengthen product performance and reliability by investigating software issues, identifying root causes, recommending corrective actions, and owning full resolution through clear documentation and follow‑through.</li>
<li>Enhance the quality and consistency of software deliverables by applying and continually improving development processes, including coding, compiling, integration, and testing using advanced tools such as static analysis, compilers, and hardware‑in‑the‑loop systems.</li>
<li>Deliver verified software features, components, and builds by collaborating with product and software development teams and ensuring alignment with stakeholder requirements and application needs.</li>
<li>Influence key decisions related to software requirements, architecture, design, and testing, positively impacting software quality, platform performance, and cross‑business‑unit integration efforts.</li>
<li>Provide technical oversight by reviewing the work of less‑experienced developers and testers, ensuring designs and implementations are robust, reusable, and efficient.</li>
<li>Lead smaller‑scale projects or take ownership of complex software components or systems, navigating ambiguity and maintaining accountability for project outcomes, timelines, and quality.</li>
<li>Drive continuous improvement by developing and optimizing work processes and systems across functions or business units, contributing to long‑term operational and product excellence.</li>
<li>Mentor and guide technicians, students, and junior engineers, supporting knowledge transfer, developing team capability, and operating as a recognized specialist within the immediate software discipline.</li>
</ul><p><b>RESPONSIBILITIES</b></p>
<p><b>To be successful in this role, you will need the following:</b></p>
<ul><li><b>Engineer with a systems mindset:</b> Translate stakeholder needs into clear, verifiable system requirements; apply systems thinking to define boundaries, interfaces, and lifecycle impacts; and make sound, timely decisions in complex environments.</li>
<li><b>Design robust, reliable products:</b> Use failure mode avoidance, platform architecture, and product selection trade‑offs to mitigate risk, optimize features and variants, and improve reliability across platforms and applications.</li>
<li><b>Leverage analytics and validation rigor:</b> Apply modeling, simulation, and analysis to influence design decisions; develop and execute verification and validation plans; interpret analytical, simulation, and physical test results to confirm capability and manage product risk.</li>
<li><b>Build software and partnerships that scale:</b> Employ best‑practice software design and construction methods; document and communicate effectively for diverse audiences; build strong internal and external networks; and drive results through resourcefulness while valuing diverse perspectives.</li>
</ul><p><b>Education, Licenses, Certifications:</b></p>
<p>College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.</p>
<p>Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.</p>
<p>This position may require licensing for compliance with export controls or sanctions regulations.</p>
<p><b>Experience:</b></p>
<p>Prior Senior or Lead Engineer equivalent work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making. Knowledge of MS Office tools is preferred</p>
<p><b>QUALIFICATIONS</b></p>
<p><b>Additional Information:</b></p>
<p><b>Key Responsibilities:</b></p>
<ul><li>Design, develop, and integrate <b>embedded C/C+ + software</b> for automotive ECUs running <b>AUTOSAR, RTOS, and bare</b> <b>‑</b> <b>metal</b> platforms</li>
<li>Integrate <b>controls software components (SWCs)</b> with AUTOSAR <b>BSW and RTE</b> layers</li>
<li>Lead root‑cause investigations of complex software issues and drive resolution through documentation and corrective actions</li>
<li>Influence <b>software requirements, architecture, design, and test strategies</b> across ECU platforms</li>
<li>Participate in <b>unit, integration, SIL, and HIL testing</b> to validate software behavior</li>
<li>Support <b>diagnostics, fault handling, calibration, and flashing workflows</b></li>
<li>Provide technical oversight, code reviews, and mentorship to junior engineers</li>
<li>Own complex software components or subsystems and lead smaller technical initiatives</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Electrical Engineering, Computer Science</li>
<li><b>5 + years</b> of embedded software experience in automotive or safety‑critical systems</li>
<li>Strong proficiency in <b>C/C + +</b> (Python a plus)</li>
<li>Familiarity with <b>Git</b> , static analysis, and HIL/SIL environments</li>
<li>Experience with <b>AUTOSAR Classic</b> and ECU software integration preferred</li>
<li>Knowledge of <b>CAN, J1939, UDS, and XCP</b> preferred</li>
<li>Experience across the full software development lifecycle preferred</li>
<li>System level thinking and strong cross‑functional communication skills preferred</li>
</ul><p>Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate&rsquo;s qualifications and experience, where appropriate.</p>
<p><b>Job</b> Engineering</p>
<p><b>Organization</b> Cummins Inc.</p>
<p><b>Role Category</b> On-site with Flexibility</p>
<p><b>Job Type</b> Exempt - Experienced</p>
<p><b>Min Salary</b> $120000</p>
<p><b>Max Salary</b> $180000</p>
<p><b>ReqID</b> 2424860</p>
<p><b>Relocation Package</b> Yes</p>
<p><b>100% On-Site</b> No</p>
<p><b>Cummins and E-Verify</b></p>
<p>At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee&rsquo;s Form I-9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.</p></div><p></p>

Senior Embedded Software Engineer

Brex

<div><div><p><b>Why join us</b></p>
<p>
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises &mdash; including DoorDash, Flexport, and Compass &mdash; use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.</p>
<p>
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p></div><p><b>
Engineering at Brex</b></p>
<p>
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level &mdash; from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.</p>
<p><b>
What you'll do</b></p>
<p>
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.</p>
<p><b>
Where you'll work</b></p>
<p>
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Collaborate with engineers across the company to build new features and products end-to-end.</li>
<li>Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.</li>
<li>Design and implement solutions to improve our customers' banking experiences.</li>
<li>Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.</li>
<li>Tune and polish features to a high degree of excellence.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>7+ years of professional experience designing, developing, and deploying full-stack applications.</li>
<li>Experience building and designing scalable backend systems</li>
<li>Experience working with SQL or NoSQL databases</li>
<li>Experience working with backend programming languages (Java, Kotlin, Python)</li>
<li>Familiarity with software engineering development cycles</li>
<li>Ability to hold yourself and the team to high standards</li>
<li>Strong communication and interpersonal skills</li>
</ul>
<p><b>Compensation:</b></p>
<p>
The expected salary range for this role is $192,000-$240,000 + Equity. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</p><div><p><i>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a </i><i>brex.com</i><i> domain. Any outreach claiming to be from Brex via other sources should be ignored.</i></p></div></div>

Senior Software Engineer, Product

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