NVIDIA CUDA Engineer
Listed on 2026-07-01
-
Software Development
AI Engineer (Applied/Software), Software Engineer, C++ Developer, Machine Learning/ ML Engineer
NVIDIA CUDA Engineer
An NVIDIA CUDA Engineer is responsible for designing, developing, optimizing, and maintaining GPU-accelerated software using CUDA, targeting high-performance, real-time, and parallel computing environments. This role is critical in domains like embedded systems, medical devices, automotive, AI/ML, HPC, and quantum-classical hybrid computing.
Key Responsibilities- GPU Programming & Optimization
- Develop, optimize, and maintain CUDA-based algorithms for high-performance applications.
- Tune GPU kernels for maximum throughput, efficiency, and low-latency execution.
- Implement parallel and distributed computation strategies for heterogeneous systems (CPU/GPU/FPGA).
- Systems & Software Development
- Build and maintain CUDA runtime libraries, drivers, and toolchain components.
- Work on multi-processor system execution, memory management, and performance profiling.
- Develop system-level software supporting NVIDIA GPU hardware.
- Cross-Functional Collaboration
- Partner with hardware engineers, architects, and product teams to design holistic GPU solutions.
- Work with research teams on advanced real-time algorithms, AI workload acceleration, or CUDA-Q (quantum) frameworks.
- CI/CD & Quality
- Improve CI/CD pipelines for CUDA components.
- Benchmark, validate, and enhance performance across software releases.
Required Skills & Qualifications Technical Skills
- Strong C/C++ programming skills (mandatory).
- In-depth experience with CUDA, GPU architecture, performance tuning, and profiling tools.
- Understanding of parallel programming paradigms (multi-threading, vectorization).
- Experience with heterogeneous computing (CPUs, GPUs, FPGAs).
Preferred Skills
- Exposure to:
- HPC systems
- Compiler design (LLVM/MLIR)
- Quantum-classical systems (CUDA-Q)
- Distributed systems
- Real-time algorithms and AI models
- Experience
- Bachelor's or Master's in Computer Science/ Electrical/Electronics Engineering with 8+ years in GPU/CUDA software development (varies by role level).
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).