Gpu Optimization Jobs
Browse 29 exciting jobs hiring in Gpu Optimization now. Check out companies hiring such as Mythic, Ataraxis AI, NVIDIA in Milwaukee, Honolulu, Columbus.
Build high-performance ML compiler technology at Mythic to map deep learning workloads onto a novel analog dataflow accelerator while influencing hardware–software co-design.
Contribute to cutting-edge AI research in oncology by building, optimizing, and deploying scalable machine learning models and evaluation frameworks at Ataraxis AI.
NVIDIA is seeking a Senior Deep Learning Software Engineer to develop and optimize perception DNNs for autonomous vehicles and deploy them on NVIDIA GPUs and accelerators.
Lead high-impact cross-functional programs to optimize OpenAI’s global compute infrastructure—improving cost, capacity, and reliability across compute, storage, and networking.
NVIDIA seeks an experienced Senior Director of Product Management to lead product strategy and execution for AI infrastructure platforms that power large-scale ML and HPC workloads.
Lead research and engineering efforts in generative AI and foundation models to create next-generation visual and multimodal creative experiences at Adobe.
Experienced HPC software engineer to build and optimize high-performance communication protocols and middleware for NVIDIA’s networked supercomputers and datacenters.
Lead technical marketing for NVIDIA GPU and rack-scale systems, communicating architecture, performance, and deployment value to hyperscalers, OEMs, and data center operators.
Lead development of high-performance, real-time image processing software for Anduril's imaging products, focusing on low-latency C++ solutions for GPU and embedded systems in Boulder, CO.
NVIDIA seeks a Senior AI Software Engineer to extend Megatron Core and NeMo frameworks through distributed training innovations, performance tuning, and scalable tooling for large-scale LLM and multimodal model workflows.
Technical Program Manager for Capacity Tooling to lead development of scalable data pipelines, forecasting dashboards, and allocation solvers that drive compute planning at OpenAI’s San Francisco office.
Lead the design and optimization of high-performance deep learning inference software on NVIDIA GPUs as a Senior Software Engineer on the TensorRT team.
Bjak seeks an MLOps Engineer to run and scale open-source LLMs into production, optimizing for cost, latency, and reliability while working in a flexible hybrid model.
Contribute to Adobe Firefly’s GenAI Services by building optimized inference pipelines, integrating generative models into flagship products, and developing scalable ML systems for production.
Contribute to NVIDIA's power optimization efforts for GPUs and networking chips as an entry-level engineer analyzing pre-silicon power, developing RTL prototypes, and applying AI-driven optimization techniques.
Lead engineering for cross-platform 3D and web games targeting Smart TVs, streaming devices, web, and mobile while driving performance, scalability, and a high-performing team.
Modal is hiring a systems-focused engineer to evolve multi-cloud workload scheduling, cost modeling, and GPU pricing for its serverless AI compute platform.
Boson AI seeks an experienced research engineer to optimize training and inference pipelines on GPU clusters using CUDA/Triton, PyTorch, and distributed optimization techniques.
Help reduce energy consumption of next-generation NVIDIA GPUs and networking chips by performing power analysis and AI-driven RTL and architectural optimizations as a new grad Power Optimization Engineer.
NVIDIA is hiring a Senior Machine Learning Engineer to develop real-time GenAI and graphics solutions for media and gaming on NVIDIA GPUs.
Lead research and engineering-driven development of GenAI conversational assistants, guiding a cross-functional team to fine-tune, optimize, and deploy LLM-powered features that improve customer digital experiences.
Lead engine architecture and technical strategy in Boston for Project Sirius, driving performance, rendering, and tools to deliver a next-generation multiplayer Witcher experience.
NVIDIA is hiring a new college graduate AI Developer Technology Engineer to develop, optimize, and deploy high-performance deep learning solutions on GPUs while collaborating with research, architecture, and software teams.
Lead the optimization and scaling of distributed training infrastructure for foundation models, improving wall-clock convergence by tuning data pipelines, kernels, and multi-node systems.
Lead the design and deployment of advanced control, state estimation, and trajectory optimization systems for general-purpose robots, working closely with hardware and algorithm teams.
Help scale state-of-the-art video generation models by designing and shipping CUDA/Triton kernels, PyTorch integrations, and end-to-end performance improvements at Mirage's NYC HQ.
Lead rapid-prototyping research and algorithm development to deliver deployable sensing and C2 capabilities for defense systems at Anduril.
Lead NVIDIA's multi-cloud GPU capacity strategy by combining analytics, automation, and cross-functional leadership to optimize compute resources for AI and HPC workloads.
Lead development of motion planning, perception, and control algorithms for high-DOF industrial manipulators at GrayMatter Robotics' Carson office, delivering production-ready systems for manufacturing customers.
How much do gpu optimization jobs pay?
Below 50k*
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Top companies hiring for gpu optimization jobs
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