Senior Machine Learning Engineer, Autonomy
Sunnyvale, United States · San Francisco, Califonia, US
- Pay
$210,000–300,000/yearAnnual period assumed — pay source
Compensation $210,000 - $300,000 Additional Information
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
ENGINEERING › Autonomous Driving (AD) — team source
Department: ENGINEERING › Autonomous Driving (AD)
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
2. Do you now, or will you in the future, require immigration sponsorship for work authorization (for example, H-1B status)?
From the employer’s application form
What you’ll work on
Full postingWe're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis.
Most autonomy programs were started years ago.
You'll lead major technical initiatives from ambiguous problems to deployed systems running on real vehicles while helping shape the future of the organization.
Lead development of end-to-end driving, VLA, or world model systems.
Define and implement scalable autonomy architectures.
From the employer’s posting
We're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis. Our approach is ML-first, centered around end-to-end learning, foundation models, VLA models, and world models. As a founding senior engineer, you'll make the architecture decisions most autonomy teams made years ago, then personally drive their implementation into production. We are looking for builders, not spectators. You'll lead major technical initiatives from ambiguous problems to deployed systems running on real vehicles while helping shape the future of the organization.
Most autonomy programs were started years ago. The major architectural decisions and engineering culture were established long before today's engineers joined. We're assembling the founding team that will define and build our autonomy platform. The engineers who join now will have outsized influence on architecture, technical roadmap, engineering culture, hiring standards, and future direction.
About the Role We're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis. Our approach is ML-first, centered around end-to-end learning, foundation models, VLA models, and world models. As a founding senior engineer, you'll make the architecture decisions most autonomy teams made years ago, then personally drive their implementation into production. We are looking for builders, not spectators. You'll lead major technical initiatives from ambiguous problems to deployed systems running on real vehicles while helping shape the future of the organization. Founding Team Opportunity
Responsibilities Lead development of end-to-end driving, VLA, or world model systems. Define and implement scalable autonomy architectures.
Lead development of end-to-end driving, VLA, or world model systems. Define and implement scalable autonomy architectures. Adapt foundation models for autonomous driving.
What you’ll bring
All qualificationsCore experience
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of experience building ML systems.
- Experience leading technical projects from concept to deployment.
- Strong Python and PyTorch (or JAX) skills.
Qualification wording
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of experience building ML systems.
Experience leading technical projects from concept to deployment.
Strong Python and PyTorch (or JAX) skills.
Education & alternatives
- Demonstrated grit, ownership, and a track record of driving difficult technical problems from ambiguity to successful deployment. - Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field. - 5+ years of experience building ML systems.
Tools in this posting
- Python
- PyTorch
Source — Tool mentions in context
- Experience leading technical projects from concept to deployment. - Strong Python and PyTorch (or JAX) skills. Preferred Qualifications
About 42dot
42dot is a mobility AI company committed to solving mobility challenges with software and AI.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
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
We're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis.
Our approach is ML-first, centered around end-to-end learning, foundation models, VLA models, and world models.
As a founding senior engineer, you'll make the architecture decisions most autonomy teams made years ago, then personally drive their implementation into production.
We are looking for builders, not spectators.
You'll lead major technical initiatives from ambiguous problems to deployed systems running on real vehicles while helping shape the future of the organization.
Founding Team Opportunity
Most autonomy programs were started years ago. The major architectural decisions and engineering culture were established long before today's engineers joined.
We're assembling the founding team that will define and build our autonomy platform.
The engineers who join now will have outsized influence on architecture, technical roadmap, engineering culture, hiring standards, and future direction.
Responsibilities
Lead development of end-to-end driving, VLA, or world model systems.
Define and implement scalable autonomy architectures.
Adapt foundation models for autonomous driving.
Drive major technical initiatives from concept to deployment.
Improve training, evaluation, and data efficiency.
Mentor engineers and contribute to team growth.
Qualifications
Demonstrated grit, ownership, and a track record of driving difficult technical problems from ambiguity to successful deployment.
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of experience building ML systems.
Proven track record of shipping production ML systems.
Experience leading technical projects from concept to deployment.
Strong Python and PyTorch (or JAX) skills.
Preferred Qualifications
Autonomous driving or robotics experience.
End-to-end driving, VLA/VLM models, world models, or foundation models.
Large-scale distributed training.
Simulation, synthetic data, or safety-critical systems.
Publications at top conferences.
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
$210,000 - $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).
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 →
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation $210,000 - $300,000 Additional Information
- Location & working pattern
San Francisco, Califonia, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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