... and CUDA kernels for performance-critical components. • Integrate optimized models into the ... Required : • 5+ years of professional experience developing and deploying deep learning models ...
... and CUDA kernels for performance-critical components. • Integrate optimized models into the ... Required : • 5+ years of professional experience developing and deploying deep learning models ...
Sr. Software Development Engineer, Frontier AI & Robotics
Seattle, WA · On-site
$139.40K - $183.80K/yr
... TensorRT, CUDA, and other NVIDIA tools - Collaborate closely with scientists to influence model ... professional software development experience - 5+ years of programming with at least one software ...
Sr. Software Development Engineer, Frontier AI & Robotics
Seattle, WA · On-site
$139.40K - $183.80K/yr
... TensorRT, CUDA, and other NVIDIA tools - Collaborate closely with scientists to influence model ... professional software development experience - 5+ years of programming with at least one software ...
Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
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Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
Staff AI Software Engineer, Edge Model Optimization & Deployment
Seattle, WA · On-site
$70K - $300K/yr
Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
Staff AI Software Engineer, Edge Model Optimization & Deployment
Seattle, WA · On-site
$70K - $300K/yr
Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
Staff AI Software Engineer, Edge Model Optimization & Deployment
Seattle, WA · On-site
$70K - $300K/yr
Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
Staff AI Software Engineer, Edge Model Optimization & Deployment
Seattle, WA · On-site
$70K - $300K/yr
Develop custom TensorRT plugins and CUDA kernels for performance-critical components. * Integrate ... What You Have: * 5+ years of professional experience developing and deploying deep learning models ...
Senior GPU Compiler Development Engineer
Redmond, WA · On-site
$137.20K - $180.90K/yr
Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose ... Our diverse team of talented, capable, and professional people are our greatest asset! If you're a ...
Senior GPU Compiler Development Engineer
Redmond, WA · On-site
$137.20K - $180.90K/yr
Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose ... Our diverse team of talented, capable, and professional people are our greatest asset! If you're a ...
Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots ... Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots ... Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
Solutions Architect, AI and ML
Seattle, WA · On-site
$71.75 - $94.50/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
Seattle, WA · On-site
$71.75 - $94.50/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$71.75 - $94.50/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$71.75 - $94.50/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
Redmond, WA · On-site
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
Redmond, WA · On-site
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
Redmond, WA · On-site
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Solutions Architect, AI and ML
Redmond, WA · On-site
$70.50 - $93/hr
AWS, GCP or Azure Professional Solution Architect Certification. * Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based ...
Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots ... Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots ... Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
Experience: 15+ years of relevant professional software engineering experience, with at least 3+ ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. * Agentic ...
Experience: 15+ years of relevant professional software engineering experience, with at least 3+ ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. * Agentic ...
Required : • 15+ years of relevant professional software engineering experience, with at least 3+ ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. • Practical ...
Required : • 15+ years of relevant professional software engineering experience, with at least 3+ ... CUDA, TensorRT), and experience running local models on consumer-grade hardware. • Practical ...
Senior Software Embedded Engineer
$141.10K - $184.90K/yr
What You Bring * 8+ years of professional software development experience. * Proven track record of ... Hands-on experience with inference at the edge using NPUs or GPUs - TensorRT, CUDA, ONNX Runtime ...
Senior Software Embedded Engineer
$141.10K - $184.90K/yr
What You Bring * 8+ years of professional software development experience. * Proven track record of ... Hands-on experience with inference at the edge using NPUs or GPUs - TensorRT, CUDA, ONNX Runtime ...
Senior AI Engineer - SFL Scientific
Seattle, WA · On-site
$118.90K - $163.30K/yr
... professional development Qualifications : Required : • Bachelor's degree in a STEM field ... CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting company ...
New
Senior AI Engineer - SFL Scientific
Seattle, WA · On-site
$118.90K - $163.30K/yr
... professional development Qualifications : Required : • Bachelor's degree in a STEM field ... CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting company ...
New
HPC AI Solution Architect (S2S)
Seattle, WA · On-site
$71.75 - $94.50/hr
Deloitte is a leading professional services firm, and they are seeking a Lead Cloud Integrated ... drivers, CUDA container runtime, and cluster lifecycle automation • 2+ years automating ...
HPC AI Solution Architect (S2S)
Seattle, WA · On-site
$71.75 - $94.50/hr
Deloitte is a leading professional services firm, and they are seeking a Lead Cloud Integrated ... drivers, CUDA container runtime, and cluster lifecycle automation • 2+ years automating ...
... professional development Qualifications : Required : • Bachelor's degree in a STEM field ... CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting company ...
... professional development Qualifications : Required : • Bachelor's degree in a STEM field ... CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting company ...
Professional Cuda information
What is the difference between Professional Cuda vs Cuda Developer?
| Aspect | Professional Cuda | Cuda Developer |
|---|---|---|
| Required Credentials | Typically requires a degree in Computer Science or related field, with certifications in CUDA programming | Often requires similar degrees and certifications, focusing on CUDA expertise |
| Work Environment | Works in research labs, tech companies, or industries utilizing GPU computing | Works in software development teams, research, or hardware optimization projects |
| Industry Usage | Used across high-performance computing, AI, and scientific research sectors | Commonly employed in software development, gaming, and simulation industries |
Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.
What are the most commonly searched types of Cuda jobs in Bothell, WA? The most popular types of Cuda jobs in Bothell, WA are:
What are popular job titles related to Professional Cuda jobs in Bothell, WA? For Professional Cuda jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Professional Cuda jobs in Bothell, WA look for? The top searched job categories for Professional Cuda jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Professional Cuda jobs? Cities near Bothell, WA with the most Professional Cuda job openings:
Full-time
Posted 26 days ago
Job description
Job Summary:
FieldAI is transforming how robots interact with the real world, and they are seeking a Staff AI Software Engineer to drive the optimization, integration, and deployment of ML models on robotic platforms. This role involves owning the edge inference stack, improving model performance, and collaborating with various teams to ensure reliable on-robot behavior in diverse environments.
Responsibilities:
• Convert and optimize 2D/3D CNNs and Transformer-based models (PyTorch/TensorFlow → ONNX → TensorRT/Triton) for real-time inference on Jetson/Orin platforms.
• Apply model compression techniques—quantization, pruning, distillation, weight sharing—to meet strict constraints on latency, memory, bandwidth, and power.
• Develop custom TensorRT plugins and CUDA kernels for performance-critical components.
• Integrate optimized models into the broader robotic system using ROS nodes and interfaces.
• Build benchmarks, profile and debug end-to-end inference pipelines, and validate performance in real-world robotic scenarios.
• Collaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into robust, deployable edge solutions.
• Ensure the reliability, robustness, and stability of deployed models operating continuously in challenging, resource-constrained environments.
Qualifications:
Required:
• 5+ years of professional experience developing and deploying deep learning models for edge, embedded, or real-time systems.
• PhD in Computer Science, Robotics, Electrical or Computer Engineering, or a closely related technical field.
• Strong proficiency in PyTorch, C++, Python, and CUDA for AI/ML development and model optimization.
• Hands-on experience with TensorRT, ONNX, and Triton, including authoring custom plugins for TensorRT.
• Proven experience applying model optimization techniques such as quantization, pruning, and distillation in production systems.
• Deep understanding of hardware constraints and performance tuning on Jetson / ARM platforms, GPUs, and embedded Linux systems.
• Experience integrating AI models into ROS-based robotic systems.
• Ability to work independently while collaborating effectively in a fast-paced, cross-functional engineering environment.
Preferred:
• Experience with ROS2.
• Experience writing and optimizing custom CUDA kernels and low-level GPU performance tuning.
• Familiarity with Triton, ML compilers, or compiler-level optimizations for GPU inference.
• Experience with JAX or additional ML frameworks beyond PyTorch.
• Background deploying AI systems on real robots operating in the field, not just offline or in simulation.
• Familiarity with NVIDIA’s edge and robotics ecosystem (e.g., Isaac ROS, DeepStream, JetPack).
Company:
FieldAI is the general-purpose brain making robots autonomous in complex, risky, real-world environments. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.
FieldAI is transforming how robots interact with the real world, and they are seeking a Staff AI Software Engineer to drive the optimization, integration, and deployment of ML models on robotic platforms. This role involves owning the edge inference stack, improving model performance, and collaborating with various teams to ensure reliable on-robot behavior in diverse environments.
Responsibilities:
• Convert and optimize 2D/3D CNNs and Transformer-based models (PyTorch/TensorFlow → ONNX → TensorRT/Triton) for real-time inference on Jetson/Orin platforms.
• Apply model compression techniques—quantization, pruning, distillation, weight sharing—to meet strict constraints on latency, memory, bandwidth, and power.
• Develop custom TensorRT plugins and CUDA kernels for performance-critical components.
• Integrate optimized models into the broader robotic system using ROS nodes and interfaces.
• Build benchmarks, profile and debug end-to-end inference pipelines, and validate performance in real-world robotic scenarios.
• Collaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into robust, deployable edge solutions.
• Ensure the reliability, robustness, and stability of deployed models operating continuously in challenging, resource-constrained environments.
Qualifications:
Required:
• 5+ years of professional experience developing and deploying deep learning models for edge, embedded, or real-time systems.
• PhD in Computer Science, Robotics, Electrical or Computer Engineering, or a closely related technical field.
• Strong proficiency in PyTorch, C++, Python, and CUDA for AI/ML development and model optimization.
• Hands-on experience with TensorRT, ONNX, and Triton, including authoring custom plugins for TensorRT.
• Proven experience applying model optimization techniques such as quantization, pruning, and distillation in production systems.
• Deep understanding of hardware constraints and performance tuning on Jetson / ARM platforms, GPUs, and embedded Linux systems.
• Experience integrating AI models into ROS-based robotic systems.
• Ability to work independently while collaborating effectively in a fast-paced, cross-functional engineering environment.
Preferred:
• Experience with ROS2.
• Experience writing and optimizing custom CUDA kernels and low-level GPU performance tuning.
• Familiarity with Triton, ML compilers, or compiler-level optimizations for GPU inference.
• Experience with JAX or additional ML frameworks beyond PyTorch.
• Background deploying AI systems on real robots operating in the field, not just offline or in simulation.
• Familiarity with NVIDIA’s edge and robotics ecosystem (e.g., Isaac ROS, DeepStream, JetPack).
Company:
FieldAI is the general-purpose brain making robots autonomous in complex, risky, real-world environments. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.