Senior ML Engineer, Autonomous Driving Systems

42dot; San Francisco (CA); On-site; USD 210,000 - 300,000; Full time

Job summary

42dot is seeking a founding senior engineer to architect and implement autonomous driving systems across trucks, buses, and cars. You will drive end-to-end ML initiatives, scale autonomy architectures, and adapt foundation models for production deployments in a fast-growing organization.

As a founding member, you will shape the technical roadmap, recruit and mentor engineers, and own major components from concept to deployment in a new autonomous driving program.

Qualifications

• Proven track record of shipping production ML systems.
• 5+ years of experience building ML systems.
• Strong Python and PyTorch (or JAX) skills.
• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or related field.
• Experience leading technical projects from concept to deployment.

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.

Skills

Python

PyTorch

JAX

ML systems

Education

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or related field

PhD in a related field (preferred)

Job description

42dot is seeking a founding senior engineer to architect and implement autonomous driving systems across trucks, buses, and cars. You will drive end-to-end ML initiatives, scale autonomy architectures, and adapt foundation models for production deployments in a fast-growing organization.

As a founding member, you will shape the technical roadmap, recruit and mentor engineers, and own major components from concept to deployment in a new autonomous driving program.