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ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!

Rivian

ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!

full-timePosted: Sep 15, 2025

Job Description

Role Overview

Join Rivian as a ML Compiler Engineer in Palo Alto, California, and drive the future of autonomous driving technology. Rivian, the leading EV manufacturer, is revolutionizing electric adventure vehicles with emissions-free innovation. This role sits at the intersection of machine learning, hardware acceleration, and autonomous systems (ADAS). You'll develop cutting-edge infrastructure to compile state-of-the-art deep learning models for efficient execution on next-generation SoC hardware. Perfect for experts in ML compilers, quantized models, and hardware-software co-design, this position offers hands-on impact on real-time perception models like CNNs, Transformers, and LLMs. Work cross-functionally with Software, Hardware, System, and SoC teams to optimize for latency, throughput, and power efficiency. If you thrive in unknown territories and love protecting the outdoors, apply now for this high-impact ML Compiler Engineer career at Rivian.

Key Responsibilities at Rivian

As a ML Compiler Engineer at Rivian, you'll lead transformative work in autonomy hardware. Here's what you'll do daily:

  • Research state-of-the-art perception models in close collaboration with ADAS software teams to stay ahead of industry benchmarks.
  • Lead optimizations for mapping quantized perception models (CNNs, Transformers, LLMs) to embedded and heterogeneous hardware platforms.
  • Design hardware-aware optimizations, including quantization strategies, model compression, memory-efficient representations, and operator fusion targeted at custom accelerators.
  • Collaborate with hardware teams to co-optimize model architecture and compute pipelines under strict real-time constraints like latency, throughput, and power.
  • Benchmark and analyze performance across platforms, iterating rapidly to achieve peak deployment efficiency.
  • Partner with perception, systems, and autonomy teams to ensure model optimizations align with hardware roadmaps and real-world driving requirements.
  • Develop compiler infrastructure enabling HW-SW codesign for efficient building blocks in state-of-the-art ML models.
  • Enable workloads on hardware and contribute to defining future enhancements for both hardware and models.
  • Focus on real-time performance and energy efficiency for Rivian's next-gen autonomy stack.

This role demands deep technical expertise but rewards with direct influence on Rivian's adventure-ready EVs.

Qualifications & Requirements

Rivian seeks top talent with proven expertise. Required qualifications include:

  • Ph.D. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field, focused on ML compilers, embedded systems, or hardware-aware AI.
  • Hands-on experience with quantized model deployment, ML compilation stacks, and code generation for embedded/heterogeneous systems.
  • Strong understanding of computer vision models (object detection, segmentation) and edge inference optimization.
  • Proficiency in PyTorch, TensorFlow, and low-level IRs/export formats like ONNX.
  • Solid C++ and Python programming skills for high-performance implementation.

Preferred: Experience in hardware-software co-design for autonomy/robotics, quantization-aware training (QAT), dynamic/static quantization, embedded real-time constraints, and model rearchitecting for hardware. If you have a track record in these areas, your ML Compiler Engineer career at Rivian will accelerate fast.

Salary & Benefits

Earn $162,000 - $203,000 USD annually (Palo Alto, CA base), determined by experience and factors permitted by law. Rivian's benefits are industry-leading:

  • Comprehensive medical/Rx, dental, vision insurance starting day one for full-time hires.
  • Family coverage for spouse/domestic partner and kids up to 26.
  • Part-time benefits after 90 days.
  • Mission-aligned culture with diverse, outdoors-loving teams.
  • Equal opportunity with ADA accommodations via candidateaccommodations@rivian.com.
  • Cutting-edge projects in EV autonomy and hardware innovation.
  • Cross-functional collaboration in Palo Alto HQ.
  • Impactful work accelerating the shift to sustainable adventure vehicles.

This package positions Rivian as a top employer for ML engineers in autonomous systems.

Why Join Rivian?

Rivian isn't just building EVs—we're keeping the world adventurous. Our team challenges conventions, reframes problems, and pioneers solutions in uncharted areas. As a ML Compiler Engineer, you'll contribute to emissions-free Electric Adventure Vehicles that protect the outdoors for generations. Diverse backgrounds unite under a shared passion for innovation and nature. Palo Alto location offers proximity to Silicon Valley talent and Rivian's vibrant HQ. Grow with us in hardware-aware AI, real-time ADAS, and beyond. Rivian complies with all fair employment laws, ensuring inclusive hiring. Ready to co-design the future of autonomy? This is your chance.

How to Apply

Applying is simple: Submit your resume highlighting ML compiler, quantization, and autonomy experience. Tailor your application to our quals like PyTorch/ONNX proficiency and hardware co-design. Email candidateaccommodations@rivian.com for disabilities support. Rivian reviews qualified applicants without bias. Apply now—positions like this ML Compiler Engineer in Palo Alto fill fast amid booming EV autonomy demand. Join Rivian's mission today and shape tomorrow's adventures.

Locations

  • Palo Alto, California, United States

Salary

162,000 - 203,000 USD / yearly

Estimated Salary Rangehigh confidence

162,000 - 223,300 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • ML Compilersintermediate
  • Deep Learning Optimizationintermediate
  • Quantized Model Deploymentintermediate
  • Hardware Accelerationintermediate
  • Computer Vision Modelsintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • C++ Programmingintermediate
  • Python Developmentintermediate
  • ONNX Exportintermediate
  • Quantization-Aware Trainingintermediate
  • Model Compressionintermediate
  • Embedded Systemsintermediate
  • Hardware-Software Co-Designintermediate
  • Real-Time Inferenceintermediate

Required Qualifications

  • Ph.D. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field with focus on ML compilers, embedded systems, or hardware-aware AI (experience)
  • Hands-on experience with quantized model deployment, ML compilation stacks, and code generation for embedded or heterogeneous compute systems (experience)
  • Strong understanding of computer vision models (e.g., object detection, segmentation) and their optimization for edge inference (experience)
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or export formats (e.g., ONNX) (experience)
  • Solid programming skills in C++ and Python (experience)
  • Prior experience with hardware-software co-design for autonomous or robotics platforms (preferred) (experience)

Responsibilities

  • Research state-of-the-art perception models in collaboration with ADAS software teams
  • Lead development of optimizations for mapping quantized perception models (CNNs, Transformers, LLMs) to embedded and heterogeneous hardware platforms
  • Design and implement hardware-aware optimizations including quantization strategies, model compression, memory-efficient representations, and operator fusion
  • Collaborate with hardware teams to co-optimize model architecture and compute pipeline under real-time constraints (latency, throughput, power)
  • Benchmark and analyze system performance across platforms and iterate for optimal deployment efficiency
  • Partner with perception, systems, and autonomy teams to align model optimization with hardware roadmap and real-world requirements
  • Develop infrastructure to compile deep learning models for hardware acceleration in autonomous systems
  • Enable running workloads on hardware and define future enhancements to hardware and models
  • Focus on real-time performance and energy efficiency for next-generation autonomy hardware

Benefits

  • general: Robust medical, Rx, dental, and vision insurance packages
  • general: Coverage effective first day of employment for full-time employees
  • general: Part-time employee coverage after 90 days
  • general: Insurance extends to spouse/domestic partner and children up to age 26
  • general: Competitive salary range $162,000 - $203,000 annually
  • general: Opportunity to work on cutting-edge EV autonomy hardware
  • general: Collaborative environment with Software, Hardware, System, and SoC teams
  • general: Mission-driven culture protecting the outdoors for future generations
  • general: Equal opportunity employer with accessibility accommodations

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Tags & Categories

ML CompilerAutonomous SystemsADASHardware AccelerationDeep LearningRivian CareersPalo Alto JobsEV AutonomyQuantizationAI OptimizationML Compiler Engineer RivianML Compiler jobs Palo Altohardware acceleration autonomous systemsquantized model optimization ADASdeep learning compiler EV autonomyRivian ADAS software engineerPyTorch TensorFlow edge inferencehardware software co-design jobscomputer vision model optimizationreal-time ML inference hardwareONNX model deployment Rivianquantization aware training careersembedded ML compiler engineerautonomous driving AI optimizationRivian Palo Alto ML jobsSoC hardware ML accelerationTransformer LLM edge deployment

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Rivian logo

ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!

Rivian

ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!

full-timePosted: Sep 15, 2025

Job Description

Role Overview

Join Rivian as a ML Compiler Engineer in Palo Alto, California, and drive the future of autonomous driving technology. Rivian, the leading EV manufacturer, is revolutionizing electric adventure vehicles with emissions-free innovation. This role sits at the intersection of machine learning, hardware acceleration, and autonomous systems (ADAS). You'll develop cutting-edge infrastructure to compile state-of-the-art deep learning models for efficient execution on next-generation SoC hardware. Perfect for experts in ML compilers, quantized models, and hardware-software co-design, this position offers hands-on impact on real-time perception models like CNNs, Transformers, and LLMs. Work cross-functionally with Software, Hardware, System, and SoC teams to optimize for latency, throughput, and power efficiency. If you thrive in unknown territories and love protecting the outdoors, apply now for this high-impact ML Compiler Engineer career at Rivian.

Key Responsibilities at Rivian

As a ML Compiler Engineer at Rivian, you'll lead transformative work in autonomy hardware. Here's what you'll do daily:

  • Research state-of-the-art perception models in close collaboration with ADAS software teams to stay ahead of industry benchmarks.
  • Lead optimizations for mapping quantized perception models (CNNs, Transformers, LLMs) to embedded and heterogeneous hardware platforms.
  • Design hardware-aware optimizations, including quantization strategies, model compression, memory-efficient representations, and operator fusion targeted at custom accelerators.
  • Collaborate with hardware teams to co-optimize model architecture and compute pipelines under strict real-time constraints like latency, throughput, and power.
  • Benchmark and analyze performance across platforms, iterating rapidly to achieve peak deployment efficiency.
  • Partner with perception, systems, and autonomy teams to ensure model optimizations align with hardware roadmaps and real-world driving requirements.
  • Develop compiler infrastructure enabling HW-SW codesign for efficient building blocks in state-of-the-art ML models.
  • Enable workloads on hardware and contribute to defining future enhancements for both hardware and models.
  • Focus on real-time performance and energy efficiency for Rivian's next-gen autonomy stack.

This role demands deep technical expertise but rewards with direct influence on Rivian's adventure-ready EVs.

Qualifications & Requirements

Rivian seeks top talent with proven expertise. Required qualifications include:

  • Ph.D. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field, focused on ML compilers, embedded systems, or hardware-aware AI.
  • Hands-on experience with quantized model deployment, ML compilation stacks, and code generation for embedded/heterogeneous systems.
  • Strong understanding of computer vision models (object detection, segmentation) and edge inference optimization.
  • Proficiency in PyTorch, TensorFlow, and low-level IRs/export formats like ONNX.
  • Solid C++ and Python programming skills for high-performance implementation.

Preferred: Experience in hardware-software co-design for autonomy/robotics, quantization-aware training (QAT), dynamic/static quantization, embedded real-time constraints, and model rearchitecting for hardware. If you have a track record in these areas, your ML Compiler Engineer career at Rivian will accelerate fast.

Salary & Benefits

Earn $162,000 - $203,000 USD annually (Palo Alto, CA base), determined by experience and factors permitted by law. Rivian's benefits are industry-leading:

  • Comprehensive medical/Rx, dental, vision insurance starting day one for full-time hires.
  • Family coverage for spouse/domestic partner and kids up to 26.
  • Part-time benefits after 90 days.
  • Mission-aligned culture with diverse, outdoors-loving teams.
  • Equal opportunity with ADA accommodations via candidateaccommodations@rivian.com.
  • Cutting-edge projects in EV autonomy and hardware innovation.
  • Cross-functional collaboration in Palo Alto HQ.
  • Impactful work accelerating the shift to sustainable adventure vehicles.

This package positions Rivian as a top employer for ML engineers in autonomous systems.

Why Join Rivian?

Rivian isn't just building EVs—we're keeping the world adventurous. Our team challenges conventions, reframes problems, and pioneers solutions in uncharted areas. As a ML Compiler Engineer, you'll contribute to emissions-free Electric Adventure Vehicles that protect the outdoors for generations. Diverse backgrounds unite under a shared passion for innovation and nature. Palo Alto location offers proximity to Silicon Valley talent and Rivian's vibrant HQ. Grow with us in hardware-aware AI, real-time ADAS, and beyond. Rivian complies with all fair employment laws, ensuring inclusive hiring. Ready to co-design the future of autonomy? This is your chance.

How to Apply

Applying is simple: Submit your resume highlighting ML compiler, quantization, and autonomy experience. Tailor your application to our quals like PyTorch/ONNX proficiency and hardware co-design. Email candidateaccommodations@rivian.com for disabilities support. Rivian reviews qualified applicants without bias. Apply now—positions like this ML Compiler Engineer in Palo Alto fill fast amid booming EV autonomy demand. Join Rivian's mission today and shape tomorrow's adventures.

Locations

  • Palo Alto, California, United States

Salary

162,000 - 203,000 USD / yearly

Estimated Salary Rangehigh confidence

162,000 - 223,300 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • ML Compilersintermediate
  • Deep Learning Optimizationintermediate
  • Quantized Model Deploymentintermediate
  • Hardware Accelerationintermediate
  • Computer Vision Modelsintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • C++ Programmingintermediate
  • Python Developmentintermediate
  • ONNX Exportintermediate
  • Quantization-Aware Trainingintermediate
  • Model Compressionintermediate
  • Embedded Systemsintermediate
  • Hardware-Software Co-Designintermediate
  • Real-Time Inferenceintermediate

Required Qualifications

  • Ph.D. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field with focus on ML compilers, embedded systems, or hardware-aware AI (experience)
  • Hands-on experience with quantized model deployment, ML compilation stacks, and code generation for embedded or heterogeneous compute systems (experience)
  • Strong understanding of computer vision models (e.g., object detection, segmentation) and their optimization for edge inference (experience)
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or export formats (e.g., ONNX) (experience)
  • Solid programming skills in C++ and Python (experience)
  • Prior experience with hardware-software co-design for autonomous or robotics platforms (preferred) (experience)

Responsibilities

  • Research state-of-the-art perception models in collaboration with ADAS software teams
  • Lead development of optimizations for mapping quantized perception models (CNNs, Transformers, LLMs) to embedded and heterogeneous hardware platforms
  • Design and implement hardware-aware optimizations including quantization strategies, model compression, memory-efficient representations, and operator fusion
  • Collaborate with hardware teams to co-optimize model architecture and compute pipeline under real-time constraints (latency, throughput, power)
  • Benchmark and analyze system performance across platforms and iterate for optimal deployment efficiency
  • Partner with perception, systems, and autonomy teams to align model optimization with hardware roadmap and real-world requirements
  • Develop infrastructure to compile deep learning models for hardware acceleration in autonomous systems
  • Enable running workloads on hardware and define future enhancements to hardware and models
  • Focus on real-time performance and energy efficiency for next-generation autonomy hardware

Benefits

  • general: Robust medical, Rx, dental, and vision insurance packages
  • general: Coverage effective first day of employment for full-time employees
  • general: Part-time employee coverage after 90 days
  • general: Insurance extends to spouse/domestic partner and children up to age 26
  • general: Competitive salary range $162,000 - $203,000 annually
  • general: Opportunity to work on cutting-edge EV autonomy hardware
  • general: Collaborative environment with Software, Hardware, System, and SoC teams
  • general: Mission-driven culture protecting the outdoors for future generations
  • general: Equal opportunity employer with accessibility accommodations

Target Your Resume for "ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!" , Rivian

Get personalized recommendations to optimize your resume specifically for ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now!" , Rivian

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

ML CompilerAutonomous SystemsADASHardware AccelerationDeep LearningRivian CareersPalo Alto JobsEV AutonomyQuantizationAI OptimizationML Compiler Engineer RivianML Compiler jobs Palo Altohardware acceleration autonomous systemsquantized model optimization ADASdeep learning compiler EV autonomyRivian ADAS software engineerPyTorch TensorFlow edge inferencehardware software co-design jobscomputer vision model optimizationreal-time ML inference hardwareONNX model deployment Rivianquantization aware training careersembedded ML compiler engineerautonomous driving AI optimizationRivian Palo Alto ML jobsSoC hardware ML accelerationTransformer LLM edge deployment

Answer 10 quick questions to check your fit for ML Compiler Engineer Careers at Rivian - Palo Alto, California | Apply Now! @ Rivian.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.