Sr. Software Integration Engineer, Autonomy

Posted 2 Days Ago
Be an Early Applicant
Sunnyvale, CA, USA
In-Office
200K-300K Annually
Senior level
Artificial Intelligence • Software • Transportation
The answer to mobility and everything
The Role
Integrate and deploy machine learning models onto onboard automotive compute systems. Optimize inference for latency, throughput, memory, and power; build model deployment, conversion, validation, and rollout pipelines; diagnose runtime failures and resource contention; define model-to-system interfaces; and collaborate with autonomy ML teams to deliver reliable real-time vehicle execution.
Summary Generated by Built In
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 [email protected].

  • 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).

  • 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

  • 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

  • How to work in 42dot, About 42dot Way →

Skills Required

  • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field
  • 5+ years of systems or software engineering experience
  • Meaningful experience with ML inference, embedded systems, or real-time software
  • Experience deploying and optimizing machine learning models in production on resource-constrained hardware
  • Strong C++ skills
  • Strong Python skills
  • Background in autonomous driving or robotics onboard software
  • Experience with 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
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The Company
HQ: Hanyang
739 Employees
Year Founded: 2019

What We Do

We envision a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. We are spearheading the transition to SDV (software-defined vehicle) with software and AI. We are developing diverse SDV technologies that continuously provide vehicle updates and services based on data for user-centric and safe mobility. If you want to create a new future of mobility through software, AI, and automotive vehicles, check out our job openings. Come ride with us!

Why Work With Us

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