Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
106 open listings · Page 3 of 5
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Menlo Ventures Portfolio
Full-time · New York, NY · $280,000 – $850,000
This role focuses on optimizing GPU performance and systems architecture to power large language models at Anthropic. You'll be responsible for kernel development, distributed systems design, and infrastructure optimization across massive-scale GPU clusters if you have deep experience with GPU programming and a drive to solve complex hardware-software integration challenges.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Motional
Full-time · Boston, MA · $159,000 – $207,000
This role focuses on optimizing machine learning model deployment and performance on embedded compute platforms for autonomous vehicles. You'll work across the full ML software stack, collaborating with deep learning teams to improve GPU/NPU utilization and develop next-generation AI compute systems.
Listed on Motional’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere is seeking a Senior Member of Technical Staff to design and develop multimodal AI systems that integrate text, speech, and vision capabilities. This role suits experienced machine learning engineers who want to work on frontier models at scale with a focused team and exceptional compute resources.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
Full-time · $168,000 – $322,000
A senior-level software engineer role supporting NVIDIA's enterprise customers with AI-powered solutions for products like AI Enterprise, Omniverse, and vGPU. This position suits experienced engineers who enjoy customer-facing problem-solving and want to apply AI and GPU technologies to real-world support challenges.
Listed on NVIDIA’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $260,000
This role focuses on optimizing how voice AI models are served in production, tackling unique challenges like real-time latency and streaming audio. It suits experienced ML engineers comfortable diving deep into inference engines and GPU optimization who want to shape infrastructure as the industry moves toward end-to-end speech systems.
Listed on Together AI’s careers site · Apply there ↗
Motional
Boston, MA · $240,000 – $330,000 · Remote
A leadership role on the machine learning team building behavior prediction systems for autonomous vehicles. This suits experienced ML engineers and technical leaders ready to manage a team while developing production models for self-driving cars.
Listed on Motional’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
A research-focused engineering role building and deploying large language models at an enterprise AI company. This suits experienced ML engineers who want to balance production systems work with cutting-edge research and have access to world-class compute infrastructure.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $224,000 – $356,500
NVIDIA is hiring a senior engineer to develop radar-based perception systems for autonomous vehicles, focusing on deep learning models that extract meaningful information from radar data and fuse it with camera and lidar inputs. This role suits someone with over a decade of production deep learning experience who can tackle the unique challenges of radar perception—like ghost targets and poor angular resolution—while collaborating across hardware, safety, and software teams.
Listed on NVIDIA’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $160,000 – $250,000
This role involves building and optimizing the core infrastructure that routes and balances inference requests across thousands of GPUs, working with cutting-edge AI hardware to make language models faster and more efficient at global scale. You'll partner with ML researchers to productionize new models while contributing to the open source tools that power the industry.
Listed on Together AI’s careers site · Apply there ↗
Motional
Boston, MA · $240,000 – $330,000 · Remote
Lead a team of machine learning engineers building prediction and motion planning models for autonomous vehicles, translating research into production systems deployed on self-driving fleets. This role suits experienced technical leaders who combine deep expertise in ML and autonomous driving with proven ability to manage and grow engineering teams.
Listed on Motional’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $184,000 – $287,500
A cybersecurity-focused software engineer role developing security features for autonomous vehicle platforms, working across the full stack from sensors to cloud infrastructure. Suited to experienced systems engineers comfortable with low-level embedded code and the unique security challenges of safety-critical autonomous systems.
Listed on NVIDIA’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $290,000
Together AI seeks a senior backend engineer to design and operate the infrastructure layer of their AI cloud platform, managing GPU clusters and distributed systems across global data centers. This role suits experienced systems engineers comfortable with Kubernetes, networking, and cloud infrastructure at scale.
Listed on Together AI’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $248,000 – $391,000
This Principal-level role leads the technical vision and architecture for vehicle dynamics simulation systems that help autonomous vehicle engineers validate driving behavior in diverse scenarios. You'll design production C++ frameworks, establish validation workflows, and mentor engineers across NVIDIA's AV simulation platform.
Listed on NVIDIA’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $160,000 – $230,000
A Machine Learning Engineer role focused on building and optimizing inference systems for large language models at scale. This suits engineers with strong systems programming skills who want to work on high-performance AI infrastructure and collaborate closely with researchers.
Listed on Together AI’s careers site · Apply there ↗
NVIDIA
5 locations · $184,000 – $287,500
A platform engineering role building core software infrastructure for autonomous vehicles, focusing on sensor integration, data streaming, and vehicle interfaces. Suits experienced C++ engineers comfortable with real-time systems, CUDA optimization, and embedded Linux who want to work on self-driving technology at scale.
Listed on NVIDIA’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $160,000 – $230,000
A role developing and optimizing GPU kernels and machine learning algorithms with teams across modeling, hardware and software. This suits researchers and engineers with deep GPU programming expertise who want to work on AI infrastructure at the cutting edge.
Listed on Together AI’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $240,000 – $379,500
This role leads product strategy for AI-agent-powered workflows that help autonomous vehicle teams build and deploy software more efficiently. It suits experienced product managers with deep expertise in generative AI, developer tools, and automotive development pipelines who can drive cross-functional execution at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $184,000 – $287,500
NVIDIA is hiring a Senior Perception Engineer to develop 3D obstacle detection models for autonomous vehicles, working on camera, radar, and lidar fusion pipelines using modern deep learning architectures. This role suits experienced computer vision engineers who want to move perception systems from research to production at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA seeks a Senior Software Engineer to design and build Python APIs and language bindings for CUDA Core Libraries, bridging Python and native C/C++ to create fast, accessible GPU-accelerated software. This role suits experienced systems programmers comfortable with both high-level and low-level languages who want to shape the developer experience for accelerated computing.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $152,000 – $287,500
NVIDIA seeks a deep learning performance architect to design GPU and system architectures that advance AI inference speed and efficiency through hardware-software co-design. This role suits someone with strong ML fundamentals and systems-level performance expertise who wants to guide next-generation GPU architecture decisions.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $320,000 – $488,750
Lead the development of vehicle and sensor abstraction layer software that enables autonomous driving systems to interface with real-world hardware at scale. This role suits experienced engineering directors who want to architect the foundational software bridging perception and control in self-driving vehicles.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
3 locations · $184,000 – $356,500
NVIDIA is hiring a senior engineer to provide hands-on technical support for large-scale AI deployments on their cloud platforms, working directly with enterprise customers to optimize distributed training, inference, and MLOps infrastructure. This role suits experienced infrastructure engineers or solutions architects comfortable troubleshooting complex production systems and guiding customer teams on GPU-accelerated platforms.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is seeking a senior engineer to design and build Rust libraries for CUDA, creating safe abstractions over GPU computing APIs while maintaining tight integration with C/C++ and Python ecosystems. This role suits experienced systems programmers who want to shape the developer experience for accelerated computing at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $224,000 – $356,500
NVIDIA seeks a senior developer relations specialist to build partnerships with public-sector wireless research organizations and advance the company's 6G and AI initiatives in telecommunications. This role suits someone with deep RAN and standards expertise who can bridge engineering innovation with government and research communities.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $184,000 – $287,500
NVIDIA is seeking a senior engineer to work on the CUDA driver and runtime, optimizing performance across GPU compute platforms used in deep learning, scientific computing, and graphics. This role suits someone with strong low-level systems expertise who can solve complex performance problems across the full software and hardware stack.
Listed on NVIDIA’s careers site · Apply there ↗