Principal Software Architect - High-Performance Computing

Acara Solutions, An Aleron Company; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Acara Solutions, an Aleron Company, is hiring for a materials engineering and semiconductor equipment program with Chennai as the primary site and Bangalore as a secondary location. The role targets 12–18 years of experience implementing robust, scalable infrastructure using CPUs, GPUs, FPGAs, and distributed HPC frameworks.

You will work on GPU inference with Triton, MPI/UCX-based HPC software, CUDA/OpenCL, multithreading, IPC, and low-latency queues.

Qualifications

• Working experience of GPU inference server like Nvidia Triton.
• Very good knowledge C/C++, Data structure and Algorithms and complexity analysis.
• Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
• Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
• In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and distributed computing fundamentals.
• Experience in Inter Process communication using Shared memory and Pipes.
• Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.)
• Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc.
• Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to mentor and coach junior team members.

Responsibilities

• Working experience of GPU inference server like Nvidia Triton.
• Experience in developing Distributed High-Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
• Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
• In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and distributed computing fundamentals.
• Experience in Inter Process communication using Shared memory and Pipes.
• Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.)
• Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc.
• Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues.
• Ability to mentor and coach junior team members.

Skills

Triton GPU Server

CUDA

OpenMP

OpenCL

MPI

UCX

Multithreading

IPC

Profiling

Vectorization

Intrinsics

Docker

Singularity

Low Latency Queues

Mentoring

Tools

Docker

Singularity

Job description

We are hiring for one of our esteemed clients in materials engineering and semiconductor manufacturing equipment for Chennai as the primary location and Bangalore as the secondary location.

About the Role

12 to 18 years of experience in implementing robust, scalable, and secure infrastructure solutions combining diverse processors (CPUs, GPUs, FPGAs)

Responsibilities

• Working experience of GPU inference server like Nvidia Triton.
• Experience in developing Distributed High-Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
• Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
• In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and distributed computing fundamentals.
• Experience in Inter Process communication using Shared memory and Pipes.
• Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.)
• Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc.
• Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues.
• Ability to mentor and coach junior team members.

Required Skills

• Working experience of GPU inference server like Nvidia Triton.
• Very good knowledge C/C++, Data structure and Algorithms and complexity analysis.
• Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc.
• Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc.
• In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and distributed computing fundamentals.
• Experience in Inter Process communication using Shared memory and Pipes.
• Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.)
• Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc.
• Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to mentor and coach junior team members.

Preferred Skills

• Additional Qualifications
• Experience in HPC Job-Scheduling and Cluster Management Software (SLURM, Torque, LSF etc.)
• Good knowledge of Low-latency and high-throughput data transfer technologies (RDMA, RoCE, InfiniBand)
• Good Knowledge of Parallel processing and DAG execution Frameworks like Intel TBB flowgraph, OpenCL/SYCL etc.