1,829,202open jobs
105,335companies
276,110added this week
Browse all
Salary
≈ $114k – $211k per year (Estimated)
Location
In office (London)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 15, 2026. Rivian scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Irvine, California, Rivian is an American electric vehicle manufacturer and automotive technology company. The enterprise designs and builds all-electric pickup trucks, sport utility vehicles, and commercial delivery vans tailored for both consumer adventure and commercial fleet operations. Through continuous innovation in battery technology and software-defined vehicle platforms, the business aims to accelerate the global transition to sustainable transportation.
Backed by Coatue, VCSheet
About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

As a Tech Lead - Manager - ML training and infrastructure, you will be a member of the

Perception team at Rivian, which develops advanced machine learning algorithms that

directly impact safety critical self-driving features of our category defining vehicles.

We are looking for candidates with deep knowledge and strong enthusiasm towards

establishing a state-of-art ML infrastructure for training and inference of large autonomous

driving models; and optimizing the training and inference performance

Responsibilities

  • Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale
  • Optimize the latency of model inference and model pre- and post-processing on onboard systems
  • Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data
  • Drive architectural decisions, design reviews, and engineering standards across the team to ensure scalability, security, and maintainability.
  • Identify technical dependencies and operational bottlenecks early, unblocking team members to maintain high execution momentum.
  • Establish and enforce team guidelines for code reviews, testing, deployment, and operational excellence.

Qualifications

  • PhD in CS/CE/EE, or equivalent, in industry experience
  • Deep knowledge of PyTorch, TrensorFlow or Jax
  • Knowledge of model training framework
  • In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models
  • Experience of performing large scale distributed training of models
  • A track record of profiling models and doing detective work to improve model training and inference speed

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, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected].

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,829,202 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
London
≈ $123k – $226k per year (Estimated) • In office • Full-Time • Bachelor's Degree • London • Nottingham
Python
AI/ML
SHAP
XGBoost
TensorFlow
PyTorch
Amazon SageMaker
Feature Store
Machine Learning
DevOps
CI/CD
AWS
IAM
Analytics
A/B Testing
Apply
≈ $131k – $241k per year (Estimated) • Hybrid • Full-Time • Master's Degree • London
Python
AI/ML
Multimodal AI
AI Agents
PyTorch
LLM
OpenAI
Anthropic
Red Teaming
LLM Guardrails
Machine Learning
Apply
≈ $127k – $234k per year (Estimated) • In office • Glasgow
Python
Java
AI/ML
Model Context Protocol
CUDA Toolkit
Prompt Engineering
Function Calling
AI Agents
NLP
LLM
RAG
Ray
CUDA
GraphRAG
Structured Outputs
LLM Guardrails
Agentic Workflows
Multi-Agent Systems
Tool Use
Machine Learning
Apply
$125k – $216k per year • In office • Bachelor's Degree • London
Python
Go
Java
C#
AI/ML
Copilot
Federated Learning
EU AI Act
DevOps
Azure
Cybersecurity
ISO 27001
GDPR
HIPAA
Threat Modeling
Apply
$125k – $216k per year • In office • 8+ years exp • Bachelor's Degree • London
Python
AI/ML
Copilot
Function Calling
AI Agents
LLM
Context Engineering
Edge AI
Tool Use
Machine Learning
Apply
Hybrid • Bachelor's Degree
Python
Java
AI/ML
Scikit-learn
Computer Vision
NLP
TensorFlow
PyTorch
Machine Learning
DevOps
Azure
Apply
In office • Full-Time • Nonthaburi
Python
Databases
Databricks
AI/ML
Hadoop
Spark
Scikit-learn
NLP
TensorFlow
Pandas
NumPy
PyTorch
Recommender Systems
Machine Learning
DevOps
GCP
Azure
AWS
Apply
$180k – $230k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Menlo Park
AI/ML
CUDA Toolkit
Diffusion Models
CUDA
Triton
NCCL
InfiniBand
CUTLASS
Machine Learning
Apply
≈ $18k – $45k per year (Estimated) • In office • Full-Time • 2+ years exp • Gurgaon
Python
C++
MATLAB
AI/ML
Computer Vision
Machine Learning
DevOps
Linux
Robotics
ROS
ArduPilot
MAVLink
SLAM
Sensor Fusion
Obstacle Avoidance
Apply
$160k – $300k per year • In office • Full-Time • San Francisco
Go
Rust
AI/ML
Fine-tuning
AI Agents
Post-training
Machine Learning
Apply
≈ $174k – $289k per year (Estimated) • In office • London
AI/ML
Quantization
Multimodal AI
ONNX
Post-training
Edge AI
Machine Learning
Apply
≈ $174k – $289k per year (Estimated) • In office • London
AI/ML
Quantization
Multimodal AI
ONNX
Post-training
Edge AI
Machine Learning
Apply
≈ $109k – $204k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • London
Python
C++
AI/ML
Multimodal AI
Self-Supervised Learning
World Models
Machine Learning
Robotics
Sensor Fusion
Imitation Learning
Apply
In office • Internship • PhD • Palo Alto
Python
AI/ML
Computer Vision
PyTorch
Synthetic Data
Gaussian Splatting
Machine Learning
Apply
$207k – $258k per year • Equity • In office • 8+ years exp • Bachelor's Degree • Palo Alto
Python
AI/ML
Fine-tuning
Multimodal AI
Function Calling
AI Agents
LLM
Computer Use
Multi-Agent Systems
Tool Use
Machine Learning
Apply
≈ $131k – $241k per year (Estimated) • Hybrid • Full-Time • Master's Degree • London
Python
AI/ML
Multimodal AI
AI Agents
PyTorch
LLM
OpenAI
Anthropic
Red Teaming
LLM Guardrails
Machine Learning
Apply
Chef 3 hours ago
≈ $35k – $50k per year (Estimated) • In office • London
DevOps
Chef
Apply
≈ $41k – $68k per year (Estimated) • Hybrid • Internship • Bachelor's Degree • London
Apply
≈ $41k – $68k per year (Estimated) • Hybrid • Internship • Bachelor's Degree • London
Apply
≈ $48k – $113k per year (Estimated) • In office • London
Apply
See all jobs
This is one of many
1,829,202 more open roles from verified company boards, updated every day.