The role involves optimizing ML models, building MLOps pipelines, and working with sensor data for autonomous systems integration and performance tuning.
About us:
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
Role Overview:
We’re looking for an engineer who can own data collection, scalable data systems, MLOps workflows and ML deployment. You’ll work cross-functionally with perception, operations and labelling teams to build fast, reliable, and production-grade ML pipelines.
What you will be doing
- Deploy and optimize ML models across cloud, on-prem, and edge devices using TensorRT and CUDA.
- Profile, debug, and tune GPU performance; support CUDA kernels, TensorRT integration, and inference optimization.
- Build and maintain CI/CD and automated MLOps pipelines for training, evaluation, and deployment.
- Maintain data-collection vehicle integrity, ensuring reliable HW/SW integration of cameras, LiDAR, compute units, storage, and networking.
- Collaborate with the operations team to plan, support, and execute autonomous-driving data collection runs.
- Design and operate scalable data ingestion and ETL pipelines for large sensor datasets (camera, LiDAR, logs) while maintaining efficient structuring of high-volume perception data.
- Work with external annotation and labeling vendors, ensuring high-quality labels, smooth delivery, and label validation loops.
What You Have
- 5+ years industry experience (or 3+ with a Master’s) in software, ML, or robotics systems.
- Strong Python and C++ skills, with experience in PyTorch/TensorFlow and CUDA.
- Proven experience deploying and optimizing GPU inference (TensorRT, ONNX Runtime).
- Experience with large sensor datasets and building scalable data/ETL pipelines.
- Hands-on experience collecting data for robotics or perception systems (camera/LiDAR rigs, logging tools, HW/SW integration, field data workflows).
- Comfortable working with SQL/NoSQL datastores as part of data workflows.
- Experience collaborating with external labeling/annotation vendors.
- A strong, “can do” mindset which a commitment to owning and successfully executing high priority, high visibility initiatives
What’s in it for you:
- Be part of a fast-paced and dynamic team
- Very competitive compensation and meaningful stock grants
- Exceptional benefits: Medical, Dental, Vision, and more
- Unlimited PTO: We care about results, not punching timecards
Top Skills
C++
Cuda
NoSQL
Onnx Runtime
Python
PyTorch
SQL
TensorFlow
Tensorrt
Aeva, Inc. Mountain View, California, USA Office
555 Ellis St, Mountain View, CA, United States
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