Explore 3 python engineer jobs from 2 hiring companies in Pateros, WA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-engineer

Python Engineer

Wenatchee

Brewster

East Wenatchee

Chelan

Bridgeport

East Wenatchee Bench

Omak

Granite Falls

Okanogan

Manson

Sunnyslope

Cashmere

Leavenworth

Waterville

Entiat

Twisp

West Wenatchee

Soap Lake

South Wenatchee

Python Engineer Jobs

Blue Origin

General Motors

NVIDIA

Remote

Onsite

Application close date:Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  This role is part of the Lunar Permanence business unit, which develops Blue Origin’s Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface.As part of a hardworking team of specialists and engineers, you will be responsible for test campaigns in support of development, acceptance and qualification of flight avionics / communication hardware. You will share in the team’s impact on all aspects of developing safe and robust avionics / communication hardware within the Core Components division within Lunar Permanence.We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!Special Mentions:<ul><li>Relocation provided</li><li>Travel could be expected up to 25% of the time</li><li>Interviews will include a technical assessment</li></ul>Responsibilities include but are not limited to:<ul><li>Develop, maintain, and approve avionics test plans and procedures with an emphasis on providing your expertise on avionics / RF communications test and environmental test methodologies and best practices</li><li>Support Design and Systems Engineers in avionics hardware design and verification plan development</li><li>Work with Hardware and Software Design Engineers to design, build, and verify custom Automated Test Equipment</li><li>Support schedule development and resource coordination</li><li>Lead test readiness efforts, resolve work stoppages, and delegate supporting tasks</li><li>Lead and/or directly run test procedures</li><li>Enforce safety policies during test operations</li><li>Troubleshoot test anomalies real-time and identify test article and test equipment non-conformances</li><li>Lead anomaly investigations, root cause analyses, and development of recovery plan</li><li>Consolidate, analyze, present, and archive test data</li><li>Generate test record summaries and support generation of verification artifacts</li><li>Responsibly guide avionics / RF communication hardware through the environmental testing process and ultimately ensure hardware and records meet engineering and quality requirements upon test completion</li><li>Develop/improve processes and standard procedures with emphasis on optimizing quality and efficiency of the team’s performance</li><li>Train Test Specialists and other Test Engineers</li><li>Provide support to strategic initiatives, technology maturation, and capturing best practices at the business/functional level</li></ul>Minimum Qualifications:<ul><li>Minimum of a B.S. in electrical, computer, or aerospace engineering, physics, or related field</li><li>Minimum 2-3 years demonstrated aerospace test experience including: developing test requirements, plans, procedures, reports, and associated test equipment/test setups; operating and troubleshooting test setups and test articles; participating in environmental testing including Shock/Vibration, Thermal Cycles, Vacuum, and/or EMI/EMC</li><li>Minimum 1-2 years demonstrated hardware test experience of typical avionics / RF communication devices at the LRU or system level (e.g., Command &amp; Control, Input/Output, Network, RF, Power, Navigation, Audio/Video, etc.)</li><li>Proficient in the use of standard electronic lab tests and troubleshooting equipment.</li><li>Desire to work hands-on, both independently and as part of a team, throughout the development and production phases of the mechanical and electronic assembly product lifecycle.</li><li>Good written, verbal, and interpersonal communication skills.</li><li>Ability to work with multi-functional teams such as mechanical, systems, and operations to partner for the best test implementation solutions.</li></ul>Preferred Qualifications:<ul><li>Experience developing, designing, and/or verifying custom Automated Test Equipment</li><li>Experience working with Python</li><li>Familiarity with Linux and other Unix-style operating systems</li><li>Familiarity with git, JIRA, Windchill</li><li>Experience developing hardware to IPC J-STD-0001xS, IPC/WHMA-A-620x-S, and/or NASA-STD-8739.n standards</li><li>Experience with DO-160, MIL-STD-461, and SMC-S-016 (or equivalent testing standards)</li><li>Experience with safety-critical systems development (automotive, aerospace, medical, etc.)</li></ul><h3>  </h3>Compensation Range for:WA applicants is $107,136.00 - $149,990.40Other site ranges may differCulture StatementDon’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Export Control RegulationsApplicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Background Check<ul><li>Required for all positions: Blue’s Standard Background Check</li><li>Required for Certain Job Profiles:  Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</li><li>Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</li><li>Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</li></ul>Benefits<ul><li>Benefits include:  Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</li><li>Paid Time Off:  Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</li><li>Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company&#39;s intent to reward individual contributions and enable them to share in the company&#39;s results, or other factors at the company&#39;s sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. </li></ul>Equal Employment OpportunityBlue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see <a target="_blank" href="https://www.eeoc.gov/poster">here</a>.Affirmative Action and Disability AccommodationApplicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <a target="_blank" href="mailto:EEOCompliance&#64;blueorigin.com">EEOCompliance&#64;blueorigin.com</a>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

RF / Comms Test Engineer II -  Lunar Core Components

Comms Test Engineer II

BS in electrical, computer, or aerospace engineering or physics; 2-3 years aerospace test experience; 1-2 years hardware test experience; proficient with electronic lab test equipment; strong teamwork and communication.

NVIDIA&#39;s GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what makes it work.We are looking for outstanding AI Research Engineer /Applied Scientist focused on Compilers /Low-level optimization to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA&#39;s software stack to provide comprehensive acceleration for modern machine learning models.What you&#39;ll be doing:<ul><li>Help trailblaze company efforts in applying AI within conventional compilation pipelines.</li><li>Design and implement AI-based technology addressing core problems of low-level GPU programming.</li><li>Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants).</li><li>Define model inputs/outputs over compiler low level compiler representations.</li><li>Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness.</li><li>Intelligent (domain&#96; task based) prompt engineering.</li><li>Collaborate with compiler engineers to integrate learned policies into production toolchains.</li><li>Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks.</li><li>Create datasets from compiler traces, optimization passes, and target-specific performance signals.</li><li>Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets.</li></ul>What we need to see:<ul><li>M.S./PhD degree in Computer Engineering, Computer Science related technical field (or equivalent experience).</li><li>5&#43; years of experience building AI/ML systems.</li><li>Strong software engineering skills in Python and at least one systems language (C&#43;&#43; preferred).</li><li>Hands-on experience training/fine-tuning large models (Transformers, PEFT/LoRA, distributed training).</li><li>Solid understanding of machine learning fundamentals and experimentation best practices.</li><li>Experience with reinforcement learning (e.g., policy gradients, actor-critic, offline RL, bandit-style optimization).</li><li>Knowledge of prompt-engineering techniques</li><li>Ability to work across research and engineering, from prototype to production.</li></ul>Ways to stand out from the crowd:<ul><li>Distributed training/inference at scale.</li><li>Experience working with the NVIDIA NeMo framework.</li><li>Understanding of GPU performance, experience with benchmarking suites and performance profiling tools.</li><li>Formal methods or static analysis familiarity for correctness guarantees.</li><li>CUDA programming experience.</li></ul>With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you&#39;re a creative and autonomous program manager with a real passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until April 26, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

AI Research Engineer - Applied Scientist Compilers

AI Research Engineer

MS/PhD in computer engineering or computer science; 5+ years building AI/ML systems; strong Python and at least one systems language (C++ preferred); hands-on experience with training/fine-tuning large models; ML fundamentals; RL experience; prompt engineering; ability to bridge research and production.

Job Description<div>About the Mission </div><div>GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility. </div><div>For the AI Kernels &amp; Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road. </div><div>If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real. </div><div>About the Team </div><div>The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features. </div><div>Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets. </div><div>You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, and diving into MLIR/ONNX and CUDA/TensorRT internals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving. </div><div>The Role</div><div>As a Senior Compiler Engineer on the AI Kernels &amp; Compilers team, you will work on the compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GM’s autonomous and assisted driving platforms. You’ll be a key contributor to a pipeline and tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models. </div><div>You will work on an evolving a state-of-the-art model export and compilation pipeline—from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime— so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency. Along the way, you’ll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors. </div><div>If you want to work at the intersection of compilers, performance engineering, and real‑world autonomy, this role puts your decisions directly on the critical path of what runs on the car. </div><div>What you’ll be doing (Responsibilities)  </div><div><div><ul><li>Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV. </li></ul></div><div><ul><li>Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints. </li></ul></div><div><ul><li>Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform. </li></ul></div><div><ul><li>Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics. </li></ul></div><div> </div><div>Your Skills &amp; Abilities (Required Qualifications)​​ </div><div><ul><li>3&#43; years of experience in the field of compilers  </li></ul></div><div><ul><li>Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)   </li></ul></div><div><ul><li>Expertise in writing production quality Python/C&#43;&#43; code  </li></ul></div><div><ul><li>Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration  </li></ul></div><div><ul><li>BS, or higher degree, in CS/CE/EE, or equivalent  </li></ul></div><div>What Will Give You A Competitive Edge (Preferred Qualifications)​ </div><div><ul><li>Experience building and optimizing ONNX‑based model export and deployment pipelines </li></ul></div><div><ul><li>GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)  </li></ul></div><div><ul><li>Experience with ML accelerators and hardware architecture </li></ul></div><div><ul><li>Experience developing and deploying machine learning models  </li></ul>Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  <ul><li>The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. </li></ul><ul><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li><li>Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.</li></ul>#GM-AV-1</div></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior ML Compiler Engineer

3+ years in compilers; experience with ML frameworks (PyTorch, TensorFlow, JAX) and tools (ONNX, MLIR, XLA, TVM, TensorRT); strong Python/C++, SDLC proficiency; BS or higher in CS/CE/EE

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