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197 open listings · Page 8 of 8
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
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on building and optimizing the infrastructure that trains Cohere's large language models at scale, working closely with researchers to improve training pipelines and performance. It suits engineers with strong software fundamentals and hands-on experience in distributed systems who want to bridge research and production in a compute-rich environment.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
$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 ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role optimizes the training performance of large language models by eliminating bottlenecks and writing low-level GPU kernels. It suits engineers with strong systems programming skills who want to work on the infrastructure that makes frontier AI models efficient.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
NVIDIA is seeking an experienced engineer to model and simulate GPU architectures, developing the platforms and infrastructure that validate new generations of graphics processors. This role suits someone with strong C++ and Python skills who enjoys solving complex systems problems at the architecture level.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere seeks a Senior Member of Technical Staff to design and optimize multimodal AI systems that integrate text, vision, and speech. This role suits experienced ML engineers who enjoy pushing model performance limits and want to work on frontier foundation models in a well-resourced environment.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
3 locations · $184,000 – $287,500
NVIDIA is seeking a Senior Deep Learning Scientist to develop multimodal agentic AI systems that reason and act across audio, visual, and text modalities. This role suits researchers with deep expertise in reinforcement learning and foundation models who want to shape core algorithms for large-scale AI products used by millions.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · US, CA, Remote · $184,000 – $287,500
NVIDIA seeks a technical expert to guide customers through building and deploying generative AI systems on their GPU-accelerated platforms, working directly with hospitality and travel industry clients to architect solutions, optimize performance, and shape product strategy. This role combines hands-on AI development mentorship with technical leadership, suited for someone who enjoys bridging complex technology and business impact across strategic accounts.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
This role supports government clients in adopting AI to improve public services, combining technical expertise with strategic advisory work. You'll help partners and customers implement computer vision, generative AI, and deep learning solutions while creating resources and guiding proof-of-concept deployments.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$224,000 – $356,500
This role leads performance analysis and optimization of large-scale AI systems running on NVIDIA's DGX Cloud infrastructure, partnering with engineering teams to diagnose bottlenecks and drive efficiency improvements across compute, networking, and storage. It suits someone with deep systems knowledge who enjoys turning complex performance data into concrete engineering decisions.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $168,000 – $322,000
Lead a technical team building verification systems for NVIDIA's AI compilers, ensuring deep learning models compile correctly to GPU code. This role suits experienced engineering managers who understand compiler optimization and want to drive quality at the intersection of AI frameworks and systems engineering.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Durham, NC · $152,000 – $241,500
This role develops low-level diagnostic and stress-testing software for NVIDIA's next-generation data center GPUs and AI systems, validating hardware components across compute, memory, networking, and power subsystems. It suits experienced embedded or systems software engineers who want to work close to hardware and are comfortable debugging complex failures across hardware-software boundaries.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $241,500
This role analyzes large-scale GPU workload and infrastructure data to identify optimization opportunities, working across teams to turn telemetry into actionable insights and tools. It suits someone with deep data analysis experience who can move fluidly between exploration, visualization, and machine learning to solve production problems at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
2 locations · $184,000 – $287,500
NVIDIA seeks a senior engineer to develop and optimize JAX-based components for its AI platform, working on core infrastructure that powers deep learning research and real-world applications. This role combines systems-level performance optimization with collaborative work across research and product teams to advance numerical computing tools.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $224,000 – $431,250
NVIDIA seeks a technical leader to drive enterprise adoption of agentic AI systems, working hands-on with strategic ISV partners to design and deploy production AI solutions while shaping the company's product roadmap. This role bridges customer needs and internal teams, requiring deep expertise in generative AI systems, strong communication with senior stakeholders, and the ability to execute across the full agentic AI lifecycle.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA's GPU Communications Libraries and Networking team is hiring a senior architect to design next-generation communication systems that accelerate deep learning and HPC workloads across massive GPU clusters. This role combines systems design, performance optimization, and hardware-software co-design for some of the world's largest computing platforms.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
NVIDIA seeks a deep learning engineer to integrate advanced communication technologies into AI frameworks like PyTorch and JAX, optimizing multi-GPU performance for training and inference workloads. The role involves hands-on development with communication libraries, compiler improvements, and performance analysis across large-scale distributed systems.
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NVIDIA
$168,000 – $310,500
NVIDIA is seeking a senior physical design engineer to develop and optimize chip design methodologies across their product line, with focus on power, performance, and area efficiency on advanced semiconductor nodes. This role combines deep expertise in EDA tools and physical design flows with emerging opportunities to apply machine learning to accelerate design cycles.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $152,000 – $287,500
NVIDIA seeks a senior software engineer to design and maintain optimized communication runtimes and system software for GPU clusters in AI and HPC applications. This role suits someone with deep systems knowledge who wants to work on foundational infrastructure powering machine learning and scientific computing.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
NVIDIA seeks a performance engineer to optimize communication libraries (NCCL, NVSHMEM, UCX) that connect thousands of GPUs in deep learning and HPC systems. This role suits someone with systems software expertise who enjoys diagnosing performance bottlenecks across GPU clusters and networking stacks.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $184,000 – $356,500
Lead a team developing high-performance GPU communication libraries at NVIDIA, working on technologies like NCCL and NVSHMEM that enable distributed deep learning and HPC applications. This role combines technical depth with management responsibility, requiring you to design features, mentor engineers, and collaborate across the organization to deliver libraries that push the boundaries of what's possible at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
US, CA, Remote · $224,000 – $431,250
NVIDIA is seeking a senior infrastructure engineer to build and optimize distributed training systems for autonomous vehicle AI models running across massive GPU clusters. This role suits experienced systems engineers who excel at scaling complex distributed systems and want to work on foundational ML infrastructure at one of the world's leading AI companies.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $124,000 – $230,000
This role shapes the technical narrative around NVIDIA's CUDA platform and AI libraries for developer audiences, combining product marketing strategy with hands-on use of AI coding assistants to automate competitive research, content creation, and launch execution. It suits someone with deep technical fluency in accelerated computing and AI frameworks who wants to bridge engineering and developer communities while leaning heavily on AI tools for day-to-day productivity.
Listed on NVIDIA’s careers site · Apply there ↗