Job ID: JOB_ID_8796
Job Summary:
We are seeking an experienced NVIDIA CUDA Engineer to join our team. This role is crucial for designing, developing, optimizing, and maintaining GPU-accelerated software using CUDA. The ideal candidate will have a strong background in high-performance computing, real-time systems, and parallel computing environments, with experience in domains such as 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 degree in Computer Science, Electrical, or Electronics Engineering with 8+ years in GPU/CUDA software development.
Additional Information:
This is an onsite position located in Waukesha, WI / Wausaukee, WI. The implementation partner is TCS (TATA CONSULTING SERVICES). We are looking for candidates with 8+ years of relevant experience.
Special Requirements
Onsite, 8+ years experience required.
Compensation & Location
Salary: $70 – $90 per year
Location: Waukesha, WI
Recruiter / Company – Contact Information
Recruiter / Employer: TCS
Email: ishek.chaudhary@diverselynx.com
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