9+ High Performance Computing (HPC) Jobs in India

About NonStop:

NonStop is a software services company at the intersection of bioinformatics, genomics, and healthcare technology. We partner with biotech firms, pharma organizations, genomics labs, and clinical institutions to design and deliver production-grade bioinformatics software, AI-powered analytical platforms, and end-to-end genomic data pipelines.

We work on problems that matter: from accelerating variant interpretation workflows and building HIPAA-compliant AI platforms, to orchestrating large-scale multi-omics pipelines for disease diagnostics and pharmacogenomics. Our team blends deep domain expertise with engineering rigor, and we're growing to meet the increasing demand from the life sciences industry for smart, scalable, and compliant bioinformatics solutions.

We work this way:

• We dig deep into biological problems, not just the code. Domain knowledge is valued as much as engineering craft.
• Bioinformatics is a team sport. You'll work alongside software engineers, clinicians, and research scientists.
• You own your work end-to-end, from design to delivery. We trust you to make good decisions and learn fast.
• Life sciences move fast. We encourage continuous learning, conference participation, and staying ahead of the field.

Your role:

As a Bioinformatics Engineer at NonStop, you will be a key contributor in designing, building, and maintaining bioinformatics software solutions and analytical pipelines for our clients across genomics, clinical diagnostics, and precision medicine. You'll bring both biological insight and engineering excellence to every project, collaborating with product, engineering, and scientific teams to deliver solutions that are scalable, reproducible, and compliant.

You’ll be responsible for:

• Build scalable bioinformatics applications and pipelines for efficient processing of genomic, transcriptomic, and multi-omics data.
• Produce high-quality, detailed documentation for all projects, pipelines, tools, APIs, and analytical methods.
• Provide technical consultation and solutions across cross-functional bioinformatics projects.
• Coach and mentor team members through knowledge sharing, code reviews, and pairing on domain-specific challenges.
• Ensure compliance with our SDLC process throughout the product development lifecycle.
• Stay current with evolving bioinformatics technologies and evangelize technical excellence within the team.

We’re looking for:

• Preferably 1 year of experience in designing, developing, and maintaining bioinformatics solutions.
• Master's degree in Bioinformatics, Computational Biology, or a closely related technical discipline.
• Strong understanding of genomic data analysis, variant calling, targeted sequencing, whole-exome (WES), and whole-genome sequencing (WGS) workflows.
• Hands-on experience with RNA-seq analysis, including differential expression and transcriptomic workflows.
• Proficiency in variant interpretation and ACMG/AMP classification workflows is a plus.
• Knowledge of algorithms and computational model development applied to biological data.
• Strong foundation in statistics and data analysis as applied to genomics and bioinformatics.
• Experience developing and debugging bioinformatics pipelines using Nextflow, Snakemake, WDL, or CWL.
• Proficiency in shell scripting and Linux/Unix environments for NGS data analysis.
• Familiarity with workflow automation and best practices in reproducible pipeline design.
• Excellent programming skills in Python (primary); familiarity with R or Java is a plus.
• Proficiency with standard bioinformatics tools (GATK, DeepVariant, VEP, ANNOVAR, MultiQC, FastQC, etc.).
• Experience with relational databases (PostgreSQL, MySQL, or Oracle) and NoSQL databases (MongoDB).
• Confident use of Git and GitHub for version control and collaborative development.
• Experience with cloud computing platforms (AWS or GCP, or Azure) for bioinformatics workloads.
• Familiarity with high-performance computing (HPC) environments is a plus.

Why join NonStop:

• Work on real-world genomics and clinical bioinformatics problems that directly impact patient care and scientific discovery.
• Collaborate with life sciences clients at the cutting edge, from rare disease diagnostics to AI-assisted bioinformatics platforms.

Role:

We're scaling an AI platform that powers Computer Vision and real-time video analytics, and we need someone to own the architecture, not just contribute to it. Our AI workloads are moving to the cloud, our models need hardening for production, and our engineering practices need a north star. The gap between prototype and production is costing us velocity.

Responsibilities:

• Architect and govern the end-to-end AI platform from data lake to model serving on AWS (SageMaker preferred).
• Lead cloud migration of AI workloads with a cloud-native, containerised approach (Docker, Kubernetes, CI/CD).
• Own the AI roadmap model accuracy, MLOps maturity, observability, and scalability.
• Set engineering standards across ML development, deployment, and monitoring.
• Mentor engineers and data scientists; reduce key-person dependency across the org.
• Drive productionisation, turn research into reliable, monitored, high-performance systems.

Requirements:

• Deep expertise in Computer Vision, Deep Learning, and Video/Real-Time Analytics.
• Fluency in PyTorch and/or TensorFlow, Python, and ML architecture patterns.
• Hands-on with AWS SageMaker, Docker, Kubernetes, CI/CD pipelines.
• Experience with model monitoring, observability tools, and data lake architectures.
• A track record of leading AI strategy, not just executing it.

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.