Description
CUDA / C++ Developer
Location: Remote; Noida
Department: Operations
Experience: 4 to 9 Years
JD 1 – CUDA Developer (Backend – ACE3 Project)
Overview
We are looking for a CUDA backend developer to join the ACE3 project team. You will design and optimize GPU-intensive backend modules, collaborating with C++ systems engineers and researchers to deliver high-performance simulation and AI workloads.
Responsibilities
- Design and implement GPU kernels in CUDA C, focusing on:
- Kernel fusion
- On-device operations
- GPU memory optimization
- Build and use profiling tools (e.g., Nsight) to measure and improve GPU utilization, inference latency, and training throughput.
- Optimize custom models for deployment with TensorRT or similar inference engines.
- Work with backend APIs and orchestration layers to expose GPU capabilities.
- Collaborate with research teams to translate models into performant CUDA implementations.
Required Skills
- Strong C++ (11/14/17) and CUDA C programming experience.
- Proven experience using GPUs for compute-intensive applications in production.
- Hands-on with CUDA profiling, debugging, and kernel optimization.
- Experience in multi-threaded/multi-process architectures and Linux systems development.
- Proficiency with low-level I/O, memory management, and performance tuning.
Nice to Have
- Experience with distributed training/inference pipelines.
- Containerization and orchestration (Docker, Kubernetes).
- Exposure to embedded systems or hardware-level software integration.
JD 2 – C++ Systems Developer (Backend – ACE3 Project)
Overview
We are looking for a C++ backend systems developer to join the ACE3 project team. You will focus on high-performance backend engineering, resource allocation, and distributed execution, working alongside CUDA developers and researchers.
Responsibilities
- Design and implement backend modules in modern C++ (11/14/17), focusing on:
- Asynchronous I/O utilities
- Multi-objective resource allocation
- Distributed execution support
- Build and use profiling tools to optimize CPU and memory utilization.
- Develop APIs and backend services that expose system capabilities to orchestration/frontends.
- Collaborate with CUDA engineers to integrate GPU capabilities into production pipelines.
- Support scaling workloads across nodes in cloud or enterprise clusters.
Required Skills
- Strong C++ (11/14/17) development in production-grade environments.
- Solid experience with multi-threaded/multi-process architectures.
- Linux systems programming, debugging, and optimization expertise.
- Proficiency with low-level I/O, memory management, and performance tuning.
- Familiarity with profiling tools for diagnosing bottlenecks.
Nice to Have
- Experience designing and deploying APIs/microservices at scale.
- Exposure to distributed AI pipelines and orchestration (Docker, Kubernetes).
- Industrial experience with embedded systems or hardware integration.
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