Path Robotics

Path Robotics creates truly autonomous robots for manufacturing, eliminating the need for skilled welders or robot programmers and allowing humans to focus on creativity.

Automotive

Consumer Discretionary

51-250 (100)

Founded 2014

$71M raised

24 open positions

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Senior Software Engineer, Perception Platform

2 months ago

United States

Full-time

Senior

Software Engineer

Software Development

C++ CI/CD Computer Vision gRPC Linux Machine Learning Microservices Python PyTorch

Apply Now

Path Robotics

Path Robotics creates truly autonomous robots for manufacturing, eliminating the need for skilled welders or robot programmers and allowing humans to focus on creativity.

Automotive

51-250

Founded 2014

$71M raised

View All Jobs 24

Description

Wrap perception ML models such as part registration, seam localization, and real-time weld tracking into production services for deployed robots.
Build gRPC/Protobuf service interfaces with rigorous schema versioning and backward-compatible contracts.
Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
Build observability and telemetry pipelines that surface fleet-wide perception failures and connect model metrics to operator outcomes.
Design data pipelines that support the active-learning loop by ingesting fleet data, integrating annotation tools, and routing labeled data back to training services.
Establish software best practices through code review, testing harnesses, and CI/CD.
Mentor mid-level engineers building production perception services.
Collaborate closely with research teams and the data platform team to translate prototypes into reliable systems.

Requirements

5+ years building production backend systems in Python; C++ is a plus.
Strong expertise in architecture, concurrency, performance, and API design.
Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution.
Hands-on experience with containerized deployment, Linux, and GPU compute.
Comfort diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
Experience building developer tools, frameworks, or platforms used by ML, CV, or research teams.
Working familiarity with ML and computer vision workflows such as training loops, evaluation harnesses, and point clouds.
Ability to work effectively at the boundary between research and production and translate prototypes into reliable services.

Benefits

Free lunch every day.
Flexible PTO.
Medical, Dental, and Vision insurance.
6 weeks of 100% paid parental leave, plus an additional 6-8 weeks of maternity leave for the birthing parent.
401(k) through Empower.
Paid referral bonus.

Interested in this position?

Apply directly on the company website

Apply Now

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