Gpu Jobs
Browse 85 exciting jobs hiring in Gpu now. Check out companies hiring such as NVIDIA, Zoox, Sciforium in Tallahassee, New Orleans, Omaha.
NVIDIA is hiring a Technical Marketing Manager (Memory Technology) to lead supplier engagements and align memory roadmaps to the needs of NVIDIA’s GPU, datacenter, automotive, and embedded platforms.
Senior Software Engineer (C++/GPU Performance) to optimize GPU/CPU compute, build instrumentation and benchmarking frameworks, and collaborate with component teams to meet latency and power targets for a next-generation autonomous vehicle platform.
Sciforium is hiring a Distributed Training Engineer to own and optimize the full ML training stack — from drivers and kernels to JAX/PyTorch — enabling large-scale training and deployment of next-generation LLMs.
Lead strategic technical partnerships and developer enablement for Agentic AI at NVIDIA, helping top-tier teams build, train, and deploy autonomous agents using NVIDIA’s accelerated computing and AI platforms.
Senior full-stack software engineer to design and deliver scalable engineering tools and improve GPU simulator code for NVIDIA’s SM Architecture team.
NVIDIA is hiring a Senior Solutions Architect to architect and deliver AI-accelerated CDN and telco solutions that integrate GPUs, edge inference, Kubernetes, and CDN platforms for low-latency, scalable deployments.
NVIDIA seeks a Senior System Software Engineer (Firmware) to architect and bring up large-scale GPU-accelerated datacenter systems and performance platforms.
NVIDIA seeks a Senior System Software Engineer to design and optimize embedded SoC and platform software for autonomous vehicle AI and ADAS applications.
Lead the architecture and hands-on development of Sciforium’s high-performance model serving platform, spanning GPU kernels, runtimes, distributed scheduling, and Python APIs to deliver low-latency multimodal inference.
Lead technical engagements with Intelligence Community customers to architect and deliver NVIDIA accelerated computing and AI solutions that meet mission-critical requirements.
NVIDIA Public Sector is hiring a Senior Solutions Architect to lead technical integration of NVIDIA accelerated computing and AI across federal and defense workloads.
Lead architecture and implementation of a scalable observability and data platform for NVIDIA’s global AI and HPC clusters as Principal Data Platform Architect.
Abridge is hiring a Head of AI Platform to lead the team building scalable, secure ML infrastructure and model-serving systems that power its generative-AI healthcare products.
Lead backend systems and infrastructure at Vizcom to keep GPU inference, realtime collaboration, and GraphQL APIs fast, reliable, and scalable for enterprise and design workflows.
Lead the ML stack as a founding Machine Learning Engineer at a stealth, self-funded AI group, defining models, training pipelines, and scalable inference for a global consumer product.
Work with NomadicML founders to train and productionize large-scale vision-language models that reason about motion in real-world video for autonomy and robotics.
A founding AI/ML research engineer role to design and build core model, data, and inference systems for a stealth, high-impact consumer AI product backed by a profitable US$2B group.
Lead the DGX Cloud Kubernetes engineering team at NVIDIA to design, operate, and scale a GPU cloud platform that powers next-generation AI applications.
NVIDIA seeks a seasoned GSI Cloud Manager to build and execute GCP-focused partner strategy that accelerates NVIDIA adoption within global systems integrators.
Lead the technical design and implementation of A1’s foundational LLM systems—training pipelines, inference stacks, and deployment architecture—for a global consumer AI product.
Build and maintain next-generation observability and telemetry platforms at NVIDIA to improve chip development efficiency and operational insight.
Help architect and build the backend and distributed systems that power Emerald AI’s real-time energy intelligence platform to enable scalable, grid-friendly AI data centers.
Sequen AI seeks a Staff Software Engineer (Infrastructure) to own and scale high‑performance cloud and ML infrastructure supporting training, research, and serving of frontier ranking models.
NVIDIA is hiring a Senior GPU Power Architect to lead power modeling and hardware feature design that improves GPU efficiency for graphics and deep learning workloads.
NVIDIA seeks a Senior Solutions Architect to lead technical engagements and drive GPU-accelerated 5G/6G solutions using Aerial, AODT, and related SDKs with partners and customers.
Lead cross-functional engineering teams to deliver large-scale GPU capacity and infrastructure programs that support high-performance AI and cloud services.
NVIDIA seeks an entry-level Deep Learning Software Engineer to help optimize and ship GPU-accelerated inference software for LLMs and generative AI.
Adaptable Intelligence is looking for a hands-on Senior Infrastructure Engineer to architect and operate scalable, secure cloud and GPU infrastructure from 0→1.
Lead TensorWave's engineering organization to scale AMD-based GPU clusters and deliver enterprise-grade performance, reliability, and security across the platform.
Lead design and implementation of cloud-native, high-performance backend services and AI model-serving infrastructure for Palo Alto Networks' ATP Cloud team.
Lead and build the ML cloud platform at an early-stage AI startup in San Francisco, owning end-to-end infrastructure for training and deploying large-scale physics models while remaining deeply technical and customer-facing.
Lead the design and scaling of high-performance ML infrastructure for large generative and predictive molecular AI models, working at the intersection of ML, physics, and computational chemistry.
Lead enterprise AI software releases at NVIDIA as a Technical Program Manager, coordinating cross-functional teams to deliver high-quality GPU-accelerated ML and LLM products.
Work at the intersection of research and engineering to build scalable synthetic data pipelines that directly improve the quality and efficiency of Cohere's language models.
Gcore is hiring a seasoned Pre-Sales Engineer (Cloud & AI) to lead technical engagements, solution design, and customer success for GPU and cloud infrastructure across the Americas.
Lead a cross-functional commodity and sourcing team to secure and scale server and storage hardware for LinkedIn’s global datacenters, driving strategy, supplier relationships, and NPI execution.
Work on NVIDIA's DGX Cloud team to design and operate large-scale Kubernetes-based GPU clusters that power cutting-edge AI workloads.
Lead development of scalable GPU cloud infrastructure for NVIDIA's GeForce NOW, focusing on distributed systems, storage, and orchestration to deliver high-performance cloud gaming.
Early-career developers will analyze, optimize, and implement GPU-accelerated algorithms and reference code for public-sector applications while collaborating across architecture, tools, and libraries teams.
Build and scale the compute and infrastructure that powers Chai Discovery's next-generation AI drug design platform as a Software Engineer, Infrastructure.
Lead and grow the engineering team responsible for NMC²’s bare-metal Kubernetes platform, driving architecture, automation, and performance for large-scale GPU/CPU ML and HPC clusters.
NVIDIA seeks a Principal Product Manager to lead AI training and post-training frameworks, building SDKs and tools that maximize large-scale model performance on NVIDIA GPUs.
Support DreamWorks' production environment by provisioning and maintaining workstations, tracking assets, and providing deskside technical assistance across Windows, macOS, and Linux systems.
Basis is hiring an experienced ML Systems Engineer to build, operate, and optimize distributed training and cloud infrastructure that enables large-scale, reproducible AI research.
Lead the architecture and execution of a high-throughput, low-latency ML and simulations platform that enables large-scale model training, inference, and simulation-driven product development.
Help operate and scale a high-performance GPU cluster used by cutting-edge ML research and production teams as a Senior Site Reliability Engineer.
NVIDIA seeks a Senior Test Methodology Engineer to define and implement ATE test solutions and automation for next-generation GPUs and AI server platforms.
Build and operate robust ML training and SaaS infrastructure at Basis, scaling GPU clusters, cloud services, and developer workflows to support cutting-edge research and commercial products.
NVIDIA is hiring a Senior Deep Learning Software Engineer to develop and optimize PyTorch components and production AI solutions for large-scale GPU deployments.
Lead RTL development and SoC-level IP integration as a Principal Engineer in Intel's Client Engineering Group, shaping architecture, verification, and delivery across CPU/GPU/NOC and advanced compute projects.
How much do gpu jobs pay?
Below 50k*
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50k-100k*
4
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Over 100k*
69
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Top companies hiring for gpu jobs
- NVIDIA 33
- Sciforium 5
- Jobgether 3
- Zoox 2
- Awesome Motive 2
- TensorWave 2
- Basis Research Institute 2
Best cities to find gpu jobs
- San Francisco 9
- Austin 2
- Las Vegas 2
- Santa Clara 1
