Senior Deep Learning Engineer (Perception)

Seneca

  • Sausalito, California
  • 30+ days ago

    Highlights

    OR Masters & 5-8+ years work experience: Masters in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 5-8+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment. EITHER PhD & 2+ years work experience: PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 2+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment.

    Numbers & Facts

    LocationSausalito, California
    Websitehttps://flyseneca.com

    Description

    The Job:

    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. 

    What You'll Do:

    • Algorithm development: Research, design, and implement advanced deep learning algorithms for core perception tasks, such as 2D/3D object detection, semantic segmentation, tracking, and classification.

    • Multimodal sensor fusion: Develop and optimize algorithms to fuse data from multiple sensor modalities, including cameras, LiDAR, and radar, to build a robust and comprehensive perception system.

    • Data-centric development: Take a rigorous, data-driven approach to model development. This includes designing training and validation pipelines, curating large-scale datasets, and prioritizing data collection and labeling efforts.

    • System integration: Work cross-functionally with embedded, hardware, and systems engineers to seamlessly integrate perception software into the larger autonomous stack.

    • Performance analysis and debugging: 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.

    • Stay current on research: Keep abreast of the latest academic research and industry trends in deep learning and computer vision to propose and implement innovative solutions.


    What You Bring:

    • EITHER PhD & 2+ years work experience: PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 2+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment.

    • OR Masters & 5-8+ years work experience: Masters in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 5-8+ 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 frameworks (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.

    Bonus Points For:

    • Prior experience in autonomous vehicles, robotics, or other safety-critical systems.

    • Experience with specific optimization tools like TensorRT.


    What We Offer:

    • 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


    About Us
    Seneca is eliminating the $1 trillion threat of wildfire across 500 million acres with AI-powered autonomous drone systems. Imagine a world where firefighters can respond to a blaze in under 6 minutes using autonomous suppression technology. That's the world Seneca is building. We’re combining the deep expertise of seasoned fire professionals with the innovation of billion-dollar technology builders to create advanced systems that save lives, property, and natural resources.

    This is more than a job—it's a mission to transform safety across 500 million acres. Whatever your background, if you’re a builder, an innovator, or a problem-solver, you belong here.

    Don’t meet every single requirement? If you're excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply — you may still be the right fit for our team.

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