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Hpc Engineer Jobs in Connecticut (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Bridgeport, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Danbury, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

New Haven, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT

$111K - $153K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

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Hpc Engineer information

See Connecticut salary details

$22.8K

$102.7K

$163.6K

How much do hpc engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for hpc engineer in Connecticut is $102,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $127,000.00 per year, depending on experience, location, and employer.

What does an HPC engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What are the key skills and qualifications needed to thrive as an HPC engineer?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

Are HPC engineers in demand?

HPC (High-Performance Computing) engineers are in high demand due to the increasing need for advanced computing in fields like scientific research, data analysis, and artificial intelligence. Employers seek professionals skilled in parallel programming, cluster management, and tools such as Linux and MPI, often requiring relevant certifications and experience with large-scale systems.

How much do HPC engineers make in the US?

HPC (High-Performance Computing) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in parallel computing, cluster management, or specific tools like MPI or CUDA can earn higher salaries.

What are the most commonly searched types of Hpc Engineer jobs in Connecticut?

The most popular types of Hpc Engineer jobs in Connecticut are:

What are popular job titles related to Hpc Engineer jobs in Connecticut?

For Hpc Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Hpc Engineer jobs in Connecticut look for?

The top searched job categories for Hpc Engineer jobs in Connecticut are:

Hpc Engineer jobs near you
Infographic showing various Hpc Engineer job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $102,697 per year, or $49.4 per hour.

Machine Learning Engineer

Bespoke Labs

Bridgeport, CT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

Apply