HPC Architect

Acara Solutions; Chennai District, Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Acara Solutions is seeking a Principal Software Architect with deep expertise in High-Performance Computing to design and optimize low-latency, high-throughput workloads across CPUs, GPUs and FPGAs. Based in Chennai with Bengaluru collaboration, the role demands 12–18 years of experience and a full-time leadership profile.

You will lead HPC infrastructure design, drive performance profiling and mentor teams while evaluating new frameworks to deliver scalable, cost-effective solutions.

Qualifications

• 10–20 years of experience in HPC / Software Architecture / Heterogeneous Computing.
• Strong programming skills in C/C++ and Data Structures & Algorithms.
• Hands-on experience with CUDA / GPU Programming.
• Experience with MPI, UCX or similar parallel programming frameworks.
• Strong understanding of multithreading, synchronization, IPC and distributed computing.
• Experience with GPU inference platforms such as NVIDIA Triton.
• Hands-on experience with performance profiling tools such as VTune, perf, NVIDIA Nsight etc.
• Experience with low-level optimization, vectorization, intrinsics and cache-aware programming.
• Experience with Docker/Singularity and microservices architecture.
• Strong understanding of parallel and distributed systems.

Responsibilities

• Design and implement scalable HPC infrastructure using CPUs, GPUs and FPGAs.
• Architect workload partitioning across different compute units for optimal performance.
• Develop prototypes and contribute hands‑on code to validate architectural designs.
• Lead performance profiling, optimization and capacity planning across HPC clusters.
• Optimize GPU workloads and monitor GPU infrastructure using tools such as NVIDIA DCGM.
• Work closely with algorithm, product and engineering teams to translate requirements into technical solutions.
• Act as a technical SME and provide architectural guidance to engineering teams.
• Evaluate technologies and frameworks for scalable, reliable and cost-effective solutions.

Skills

HPC

Software Architecture

Heterogeneous Computing

CUDA / GPU Programming

MPI / UCX

Multithreading & Parallelism

NVIDIA Triton

Profiling Tools

Low-level Optimisation

Docker / Microservices

Tools

VTune

perf

NVIDIA Nsight

NVIDIA DCGM

Job description

Were Hiring | Principal Software Architect High-Performance Computing

Location: Chennai | Bengaluru
Experience: 12–18 Years
Level: E4
Employment Type: Full-Time

About the Role

We are looking for an experienced Software Architect with deep expertise in High-Performance Computing, GPU infrastructure, parallel programming, and heterogeneous computing.
The role involves designing and optimizing high-performance solutions for low-latency, high-throughput image processing and deep-learning workloads, working across CPUs, GPUs, and FPGAs.

Key Responsibilities

• Design and implement scalable HPC infrastructure using CPUs, GPUs and FPGAs.


• Architect workload partitioning across different compute units for optimal performance.


• Develop prototypes and contribute hands‑on code to validate architectural designs.


• Lead performance profiling, optimization and capacity planning across HPC clusters.


• Optimize GPU workloads and monitor GPU infrastructure using tools such as NVIDIA DCGM.


• Work closely with algorithm, product and engineering teams to translate requirements into technical solutions.


• Act as a technical SME and provide architectural guidance to engineering teams.


• Evaluate technologies and frameworks for scalable, reliable and cost-effective solutions.

Must-Have Skills

• 10–20 years of experience in HPC / Software Architecture / Heterogeneous Computing.


• Strong programming skills in C/C++ and Data Structures amp; Algorithms.


• Hands‑on experience with CUDA / GPU Programming.


• Experience with MPI, UCX or similar parallel programming frameworks.


• Strong understanding of multithreading, synchronization, IPC and distributed computing.


• Experience with GPU inference platforms such as NVIDIA Triton.


• Hands‑on experience with performance profiling tools such as VTune, perf, NVIDIA Nsight etc.


• Experience with low‑level optimization, vectorization, intrinsics and cache‑aware programming.


• Experience with Docker/Singularity and microservices architecture.


• Strong understanding of parallel and distributed systems.