Deep Learning Engineer (Perception)
Job Description
- Software engineering skills in C++.
- Prior experience in autonomous vehicles, robotics, or other safety-critical systems.
- Experience with specific optimization tools like TensorRT.
- Research, design, and implement advanced deep learning algorithms for core perception tasks.
- Develop and optimize algorithms to fuse data from multiple sensor modalities.
- Design training and validation pipelines, curate large-scale datasets, and prioritize data collection and labeling efforts.
- Work cross-functionally 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.
- Keep abreast of the latest academic research and industry trends in deep learning and computer vision.
- 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.
- Extensive experience with at least one deep learning framework (PyTorch, Tensorflow, Jax).
- Expert proficiency in Python.
- Demonstrated experience with one or more of: 3D perception, multi-modal sensor fusion, BEV 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.
- Competitive Salary
- Equity Compensation
- 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
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:
- 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 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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
