To Transform Urban Living with Autonomous Driving WeRide - A Leading Global Autonomous Driving Technology Company WeRide (NASDAQ: WRD, HKEX: 0800) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4.
San Jose • Dubai • Kuala Lumpur • Tokyo • Riyadh • Transportation & Logistics • Autonomous Driving • Artificial Intelligence • 51-200 employees • Est. 2017
≈ $81k – $227k per year (Estimated) • Middle • 3+ years exp • In office • Bachelor's Degree • Full-Time • Middle
C++
MATLAB
Python
AI/ML
Computer Vision
CUDA
CUDA Toolkit
Robotics
Motion Planning
Sensor Fusion
Cartesia is an artificial intelligence research and technology company that builds real-time, low-latency generative voice models for interactive applications. Founded by Stanford researchers, the company utilizes State Space Models (SSMs) to power its flagship text-to-speech platform, Sonic, which enables sub-second voice synthesis, instant voice cloning, and emotional expression across dozens of languages. By providing real-time speech generation and voice agent infrastructure, Cartesia allows developers and enterprises to power conversational AI systems, virtual assistants, and customer service platforms.
HQ: San Francisco, United States • LLM & Generative AI • Artificial Intelligence • Speech & Audio AI • 11-50 employees • Est. 2022
$180k – $250k per year • Equity • In office (San Francisco, United States) • Visa sponsorship • Full-Time
Databricks
AI/ML
CUDA Toolkit
Multimodal AI
SGLang
Transformers
vLLM
CUDA
Triton
Edge AI
Bringing AI into the physical world. Most AI today exists solely in cyberspace. Physical reality is far more information rich, and automating physical tasks offers immense returns. We are building AI that will interact with and affect change in the real world.
San Mateo • Bengaluru • Pittsburgh • San Francisco • Robotics • Artificial Intelligence • Robotics AI
≈ $95k – $229k per year (Estimated) • Middle • 3+ years exp • In office (San Mateo, United States) • Bachelor's Degree • Middle
C++
Python
Rust
C++
PyTorch C++
TensorFlow C++
AI/ML
AI Agents
Edge AI
CUDA Toolkit
JAX
PyTorch
TensorFlow
CUDA
Chai Discovery is a San Francisco research company founded in 2024 that builds foundation models for molecular structure and interaction prediction. Its Chai-1 model predicts complexes of proteins, small molecules, nucleic acids and antibodies, and was released for free non-commercial use alongside a commercial offering. The company is backed by OpenAI and Thrive Capital and targets the design of antibodies and other biologics.
HQ: San Francisco, United States • Artificial Intelligence • Est. 2024
≈ $159k – $348k per year (Estimated) • In office (San Francisco, United States) • Bachelor's Degree • Full-Time
Python
AI/ML
CUDA
CUDA Toolkit
PyTorch
DevOps
Kubernetes
SLURM
HPC
Analytics
ETL/ELT
Pony.ai is an autonomous driving company founded in 2016 by two former Baidu autonomous vehicle engineers, operating from bases in Guangzhou and Fremont, California. It runs fully driverless robotaxi services in Beijing, Shanghai, Guangzhou and Shenzhen, holding permits in all four Chinese tier-one cities, and has expanded into the Middle East and Europe through partnerships with local operators. The company also develops autonomous trucking through Pony Truck, builds its Virtual Driver software to be portable across vehicle platforms from Toyota, GAC and BAIC, and listed on Nasdaq in 2024.
HQ: Fremont, United States • HQ: Guangzhou, China • Computer Vision • Transportation & Logistics • Ride Hailing • Artificial Intelligence • Autonomous Driving • 201-500 employees • Est. 2016
$140k per year • Equity • Senior • 2+ years exp • In office (Fremont, United States) • Full-Time • Senior
C++
Python
AI/ML
Reinforcement Learning
CUDA Toolkit
TensorRT
CUDA
Robotics
Imitation Learning
Reinforcement Learning
Motion Planning
Flexcompute is a computer-aided engineering (CAE) and deep-tech simulation software company. Headquartered in Watertown, Massachusetts (in the Greater Boston area), and spun out by researchers from MIT and Stanford, the company develops high-performance physics simulation engines that accelerate hardware R&D across aerospace, defense, automotive, photonics, and semiconductor sectors.
HQ: Watertown, United States • Media & Entertainment • Publishing • Artificial Intelligence • Hardware
≈ $103k – $203k per year (Estimated) • Junior • In office • Master's Degree • Full-Time
C++
Python
C
C
MPI
AI/ML
CUDA
CUDA Toolkit
OpenMP
Management
Linear
Mat3ra, formerly Exabyte.io, provides a cloud platform for materials modelling that combines physics simulation with machine learning. Founded in 2014 in San Francisco, it lets semiconductor and chemicals teams run high-throughput calculations without managing clusters. The platform stores results in a searchable materials data bank.
HQ: San Francisco, United States • Materials Science & Nanotechnology • Machine Learning • Est. 2014
$130k – $200k per year • Equity • Remote/Hybrid • Bachelor's Degree • Full-Time
Bash
Python
AI/ML
CUDA
CUDA Toolkit
OpenMP
DevOps
Ansible
AWS
Azure
Docker
GCP
Red Hat
SaltStack
GitHub
HPC
Runway is a mobile release management company headquartered in San Francisco, California, and founded in 2020. The company builds a platform that coordinates app store releases, automating build tracking, regression checks, staged rollouts, and the cross-team communication that surrounds a mobile launch. It integrates with the app stores, continuous integration systems, issue trackers, and chat tools that mobile teams already use, and went through Y Combinator.
HQ: San Francisco, United States • Business Process Automation (BPA) • Project Management • Information Technology • DevOps • Software • Mobile App Development • Est. 2020
$260k – $370k per year • Staff+ • 4+ years exp • Remote (United States) • Full-Time • Staff
C++
Python
C++
PyTorch C++
TensorFlow C++
AI/ML
Computer Vision
CUDA Toolkit
PyTorch
Runway
TensorFlow
CUDA
Human-in-the-Loop
Elicit is a research company that builds an artificial intelligence assistant for systematic literature review. Its product searches millions of papers, extracts methods, populations and findings into structured tables and drafts evidence summaries with citations. It grew out of the non-profit research organisation Ought, founded in 2018, and is used by academic, medical and policy researchers.
HQ: Oakland, United States • 11-50 employees • Est. 2018
$185k – $220k per year • In office (Oakland, United States) • Relocation • Full-Time
Python
AI/ML
CUDA
CUDA Toolkit
Fine-tuning
Tokenization
AI Agents
