Sr. Software Engineer, Perception Data Infrastructure

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Software Engineer, Perception Data Infrastructure Mountain View, California (HQ) About the Role We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models. You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data. Design and advance systems that: - Render and manipulate massive, multi-modal sensor datasets (Lidar, Camera, Radar) efficiently in UI environments. - Parse raw sensor data and manage complex data pipeline propagation between onboard hardware logs and offboard visualization. - Enforce strict data validation and annotation constraints to prevent upstream labeling errors from polluting downstream ML pipelines. - Create seamless, resilient API boundaries between our ML data pipelines and our Ground Truth/Data Platform infrastructure. Tailor Your Impact: - The Critical Path Owner: You will step into a complex, evolving ecosystem, quickly bring order to ambiguity, unblock critical operational bottlenecks, and architect sustainable long-term

Read the full description at nuro.ai. FewerJobs shows a source-linked preview and links to the original posting.