# Sr. Software Integration Engineer, Autonomy at 42dot > United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3A42dot%3A4c80af7e-eda8-4a99-9060-7a8a5d6cccb9 (read 2026-11-11). ## Facts (observed) - Company: [42dot](https://alderhq.app/companies/42dot) - Location text: Sunnyvale, United States - Where it can be done from (inferred): United States (evidence: "Location: Sunnyvale, United States") - Posted: 2026-11-07 (4 days ago) - First seen by alder: 2026-11-09 · last verified: 2026-11-11 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/42dot/4c80af7e-eda8-4a99-9060-7a8a5d6cccb9 - Skills listed (inferred): Python, C++ ## Pay and sponsorship - Posted pay: $200k–$300k per year (from the description) - Market band for similar posted roles (SF Bay Area, n 1192): p25 $180k, median $205k, p75 $226k - H-1B filings at this company for similar roles, FY26: 2 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### We are looking for the best ### About Us 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. ### About the Role Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle. ### Founding Team Opportunity The on-board integration architecture is being defined right now, with no legacy deployment stack to retrofit. An early hire here will help shape: The model deployment pipeline, from training-time artifact to vehicle-ready binary Inference optimization strategy and tooling for the whole autonomy stack The interface contract standard between ML models and on-board software ### Responsibilities Integrate ML models (end-to-end driving, VLA, world models) onto the on-board compute and runtime stack Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware Build and maintain the model deployment pipeline, including conversion, validation, and rollout Stabilize on-vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention Define interface contracts between ML models and the rest of the on-board software stack Work closely with the ML autonomy team to close the loop between deployment constraints and model design ### Qualifications A track record of grit and ownership, with success moving difficult problems from ambiguity to successful deployment Bachelor's, Master's, or PhD in CS, EE, Robotics, or related field 5+ years of experience in systems or software engineering, with meaningful time in ML inference, embedded systems, or real-time software Experience deploying and optimizing ML models in production, including on resource-constrained hardware Strong C++ and Python skills, with experience working across the ML and systems boundary ### Preferred Qualifications Background in autonomous driving or robotics on-board software Experience with inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs Experience with real-time operating systems and safety-critical software practices Experience building CI/CD and automated validation pipelines ### Interview Process Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring The screening procedures may vary depending on the position, schedule, or other circumstances. You will be individually notified of the screening schedule and results via the email address provided in your application. ### Compensation $200,000 - $300,000 ### Additional Information In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume. All documents must be submitted in PDF format and under 30MB in size. If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai. We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws. Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA). --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3A42dot%3A4c80af7e-eda8-4a99-9060-7a8a5d6cccb9 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.