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About the Role
Rivian is seeking a Staff Machine Learning/AI Engineer to enhance ML application and compiler capabilities for edge AI platforms. This senior technical leader will improve model enablement infrastructure, port models to RAP1-class platforms, and influence future hardware-software roadmaps. The role focuses on machine learning, model optimization, compiler development, and hardware-aware deployment, requiring expertise in practical inference systems and deploying models on constrained edge hardware.
Responsibilities
- Lead development of machine learning enablement workflows for Rivian edge AI platforms.
- Build and improve front-end compiler and model-ingestion tooling for a broad model zoo on RAP1 and future platforms.
- Develop and scale robust quantization-aware training and model optimization infrastructure.
- Port, optimize, validate, and benchmark machine learning models for deployment on hardware accelerators and NPU-class architectures.
- Improve performance across memory, scheduling, sparsity, and data-movement constraints in collaboration with hardware and systems teams.
- Create methods to evaluate model fidelity and deployment quality across floating-point and quantized paths, including accuracy, error, and performance tradeoffs.
- Work across software, compiler, architecture, and product teams to identify high-value workloads and accelerate customer-relevant enablement.
- Provide technical leadership and mentoring for engineers on model deployment, compiler infrastructure, and hardware-aware ML.
- Help shape the long-term direction of Rivian’s edge AI stack, including support for increasingly large and complex neural network models.
Requirements
- Deep experience in machine learning systems, model deployment, or AI infrastructure.
- Strong background in model optimization for edge or accelerated inference, including quantization and performance tuning.
- Experience building or extending compiler, toolchain, or graph-transformation infrastructure for ML workloads.
- Strong understanding of hardware/software co-design for inference acceleration.
- Experience working with low-power edge platforms, NPUs, custom accelerators, GPUs, or closely related architectures.
- Ability to reason about memory allocation, execution scheduling, bandwidth constraints, and overall system performance.
- Experience translating research concepts into practical tooling and production workflows.
- Strong cross-functional communication skills and the ability to lead through technical influence.
Skills
- Quantization-aware training
- Post-training quantization
- Compression
- Pruning
- Sparsity optimization
- ONNX
- Model graph transformation pipelines
- Numerical validation across float and integer execution paths
- Model-level optimization
- Hardware-level optimization
Experience Level
- Senior technical leader
About the Company
- Rivian is on a mission to keep the world adventurous forever.
- We build emissions-free Electric Adventure Vehicles.
- We constantly challenge what’s possible and seek new solutions.
- Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Equal Opportunity
- Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
- Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities.
- If you have a disability or limitation that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.