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Weekend Software Engineer Gpu Jobs in California

GPU Software Engineer Location: San Jose, CA Duration: 6+ months contract (Long Term) Roles and Responsibilities: * As a GPU Software Engineer, you will be equipped to develop GPU IP from the early ...

Sr. AI Software Engineer (GPU/C++)

Milpitas, CA · On-site

$139K - $184K/yr

They are seeking a Sr. AI Software Engineer with a focus on C++ and GPU to design and implement core infrastructure components that support AI/ML workloads across various frameworks and hardware ...

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power ... Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ...

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Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in California? The most popular types of Software Engineer Gpu jobs in California are:
What cities in California are hiring for Weekend Software Engineer Gpu jobs? Cities in California with the most Weekend Software Engineer Gpu job openings:

System Software Engineer -- GPU & Accelerated Compute

Sunday

Redwood City, CA • On-site

$211K - $251K/yr

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, aiming to make generalized robots broadly accessible. They are seeking a System Software Engineer focused on GPU and accelerated compute to own the accelerated compute layer of their ML & Robotics Infra, ensuring efficient model execution and GPU scheduling for real-time robotic systems.
Responsibilities:
• You’ll own and contribute to the accelerated compute layer of the ML & Robotics Infra, including:
• Efficient model execution and switching: Reduce gpu kernel launch overheads and make swapping between models on the same device fast and predictable
• GPU scheduling and time-slicing: Arbitrate GPU access across concurrent users (model inference, SLAM, and other robotics applications) with predictable latency
• Camera pipeline: Drive low-latency transfer of camera frames into GPU memory, integrating with HW accelerate encode/decode (NVDEC/NVENC) where appropriate
• CPU ↔ GPU data transfer: Build efficient, low-overhead data movement between host and device, including pinned memory, zero-copy paths, and asynchronous transfer patterns
• CPU/GPU synchronization: Design synchronization primitives and patterns that minimize stalls and keep inference pipelines full
Qualifications:
Required:
• 2+ years of experience developing gpu systems software
• Strong proficiency in CUDA and a systems language such as C++, C, or Rust
• Solid understanding of GPU architecture, GPU workloads, and the tradeoffs involved in time-slicing and sharing the device across users
• Hands-on experience with the CUDA ecosystem: CUDA runtime API, CUDA Graphs, and CUDA IPC
• Familiarity with GPU sharing mechanisms such as MPS and MIG
• Experience with GPU profiling tools such as Nsight Systems and Nsight Compute
• Solid Linux fundamentals: scheduling, IPC, memory management, and performance tuning
Preferred:
• Contributions to CUDA libraries or other GPU programming libraries
• Experience with camera pipeline integration and NVDEC/NVENC
• Experience optimizing model inference on embedded GPU platforms (e.g., Jetson)
• Experience with observability and tracing for GPU-accelerated workloads
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Early Stage.