Deep Learning Engineer (Perception)

Seneca • Sausalito, CA

65d

About The Position

We are seeking an exceptional and highly motivated Deep Learning Engineer to join our fast-moving and innovative team. In this role, you will leverage your expertise to research, develop, and deploy cutting-edge perception algorithms for our next-generation autonomous systems. You will play a pivotal part in building the 'eyes' of our technology, enabling it to robustly perceive and understand the surrounding world. This is a hands-on, systems-level role where you will bridge fundamental research and real-world deployment, tackling complex challenges. As a key early member of our technical team, you will have significant ownership and the opportunity to directly shape our product's perception capabilities.

Requirements

• PhD or Masters in Computer Science, Robotics, Electrical Engineering, or a related technical field.
• 2+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment.
• Extensive experience with at least one deep learning framework (PyTorch, Tensorflow, Jax).
• Expert proficiency in Python; software engineering skills in C++ is a significant plus.
• Demonstrated experience with one or more of the following: 3D perception, multi-modal sensor fusion, BEV (Bird's Eye View) models, or end-to-end learning.
• Excellent problem-solving skills, with a pragmatic and outcome-oriented approach.
• High level of ownership and comfort operating independently within an ambiguous, quickly evolving startup environment.
• Good communication skills and the ability to collaborate effectively across technical specialties.

Nice To Haves

• Prior experience in autonomous vehicles, robotics, or other safety-critical systems.
• Experience with specific optimization tools like TensorRT.

Responsibilities

• Research, design, and implement advanced deep learning algorithms for core perception tasks, such as 2D/3D object detection, semantic segmentation, tracking, and classification.
• Develop and optimize algorithms to fuse data from multiple sensor modalities, including cameras, LiDAR, and radar, to build a robust and comprehensive perception system.
• Take a rigorous, data-driven approach to model development, including designing training and validation pipelines, curating large-scale datasets, and prioritizing data collection and labeling efforts.
• Work cross-functionally with embedded, hardware, and systems engineers to seamlessly integrate perception software into the larger autonomous stack.
• Analyze logged field data to identify performance bottlenecks and edge cases, and rapidly iterate on solutions to improve model accuracy and robustness in challenging real-world conditions.
• Keep abreast of the latest academic research and industry trends in deep learning and computer vision to propose and implement innovative solutions.

Benefits

• Competitive Salary – Reflective of your skills and experience.
• Equity Compensation – Be a part-owner in the company's future.
• Comprehensive Health Coverage – Including medical, dental, and vision plans.
• Health Savings Account (HSA) – Optional pre-tax savings for medical expenses.
• Unlimited PTO – Flexible time off to recharge, plus paid company holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree