Perception Engineer – ML for Real-World Autonomy

well-funded deeptech startup; California (MO); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive base

Early equity

High visibility

Job summary

Join a well-funded deeptech startup in California focusing on building ML-driven autonomy for outdoor environments. This role emphasizes building state-of-the-art perception models and optimizing them for real-time embedded inference. Work closely with a small, high-caliber team where your contributions will have a big impact.

The ideal candidate has over 5 years of experience in robotic perception and strong skills in C++ and Python. A hands-on, collaborative mindset is essential, alongside competitive compensation and equity opportunities.

Qualifications

• 5+ years in robotic perception/ML.
• Strong C++ and Python skills.
• Deep learning and practical deployment experience.

Responsibilities

• Build state-of-the-art perception models.
• Optimize embedded inference for real-time applications.
• Manage cloud-based training and dataset curation.

Skills

Robotic perception

C++

Python

Deep learning fundamentals

Embedded experience

Job description

Bay Area | Series A Startup | Closing B Round Soon | Small, Collaborative Autonomy Team

Hiring on behalf of a Bay Area Series A startup (closing B round before end of Q3) building ML-driven autonomy for unstructured outdoor environments. Small, high-caliber team. Big impact.

You’ll:

• Build SOTA perception models (detection, segmentation, depth, tracking)
• Optimize for real-time embedded inference (TensorRT, CUDA, quantization)
• Own cloud-based training pipelines + dataset curation
• Deploy and test your work on real robots in the field

You bring:

• 5+ years in robotic perception/ML
• Strong C++/Python, embedded experience
• Deep learning fundamentals + practical deployment experience
• Startup mindset: hands‑on, collaborative, proactive

Competitive base, early equity, and high visibility.