Software Engineer - Planner GPU Compute

About this job

Analyze performance metrics to identify GPU hotspots and optimizations Contribute to the adaptation of our current planner to multiple GPU architectures with different resources Optimize ML models for latency and GPU memory usage Support engineers within Planner as a subject matter expert on CUDA & GPU performance Qualifications BS in computer science or related field and 6+ years of experience. Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments. Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).…

This is a short summary.

Want to know if you're a fit? Check your CV against this role — free, in 30 seconds.

Most-requested skills in the United States

Based on 942 United States vacancies that list requirements, these are the skills employers ask for most often.

• Python56% of postings
• AWS39% of postings
• Java38% of postings
• CI/CD33% of postings
• Kubernetes32% of postings
• Agile/Scrum28% of postings
• React22% of postings
• SQL20% of postings

Similar jobs

• Software Engineer - Embedded Systems, Anesthesia Devices · GE HealthCare
• Staff Engineer, Software Test · Thermo Fisher Scientific
• Senior Software Engineer, Controls Systems · ASML
• Staff Product Manager, Manufacturing Software · Anduril Industries
• Software Engineer, Conversational Products & Agent Workflows · Klaviyo
• Senior Software Engineer, Agent Runtime & Customer Workflows · Klaviyo