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Hpc Jobs in Indiana (NOW HIRING)

Altair Engineering

Process Engineer

Campbellsburg, IN · On-site

Altair is a global technology company providing software and cloud solutions in the areas of product development, high-performance computing (HPC) and artificial intelligence (AI). Altair enables ...

Altair Engineering

Paint Project Engineer

Princeton, IN · On-site

Altair is a global technology company providing software and cloud solutions in the areas of data analytics, product development, and high-performance computing (HPC). Altair enables organizations in ...

Heritage Pointe Communities

Staff Accountant

Warren, IN · On-site

$58K - $77K/yr

HPC is committed to fostering a workplace that provides equal employment opportunities to all individuals. We uphold a policy of non-discrimination, ensuring that all employment decisions are made ...

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Hpc information

See Indiana salary details

$8

$17

$27

How much do hpc jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for hpc in Indiana is $17.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $20.14 per hour, depending on experience, location, and employer.

What is the difference between Hpc vs Network Administrator?

AspectHpcNetwork Administrator
Required CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonRequires a degree in computer science, IT, or related field; certifications like Cisco CCNA, CompTIA Network+ are common
Work EnvironmentHigh-performance computing centers, research labs, data centersOffice settings, data centers, corporate IT departments
Industry UsageResearch institutions, scientific computing, large-scale data processingCorporate, government, and educational institutions managing network infrastructure

Hpc specialists focus on managing and optimizing high-performance computing systems for scientific and research purposes, while Network Administrators oversee and maintain network infrastructure to ensure connectivity and security. Both roles require IT expertise but differ in their specific environments and technical focus.

What are HPC (High Performance Computing) professionals?

HPC (High Performance Computing) professionals are experts who design, manage, and optimize powerful computing systems used for complex computational tasks. These systems are often used in scientific research, weather forecasting, engineering simulations, and data analysis where large amounts of data need to be processed quickly. HPC professionals work with clusters, supercomputers, and advanced software to ensure high-speed performance and reliability. Their skills include parallel programming, system administration, and troubleshooting complex computational problems.

What are the key skills and qualifications needed to thrive as an HPC (High Performance Computing) Specialist, and why are they important?

To thrive as an HPC Specialist, you need a strong background in computer science, parallel programming, and systems architecture, often supported by a relevant degree or certifications. Familiarity with Linux operating systems, cluster management tools, job schedulers (like SLURM), and programming languages such as C/C++ or Python is essential. Effective problem-solving, teamwork, and communication skills help HPC specialists collaborate with researchers and troubleshoot complex technical issues. These skills and qualities are crucial to optimize computational resources and support advanced scientific or engineering projects.

What are some common challenges faced by HPC (High Performance Computing) professionals when supporting large-scale scientific research projects?

HPC professionals often encounter challenges such as optimizing code for parallel processing, managing limited computational resources, and ensuring efficient data throughput for large datasets. Collaborating with researchers to translate scientific problems into computational tasks requires strong communication skills and adaptability. Additionally, keeping up with rapidly evolving hardware and software technologies is essential for maintaining and improving system performance. These challenges are typically met through ongoing training, teamwork with domain scientists, and proactive system monitoring.
What are popular job titles related to Hpc jobs in Indiana? For Hpc jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Hpc jobs in Indiana look for? The top searched job categories for Hpc jobs in Indiana are:
Hpc jobs near you

Machine Learning Engineer

Bespoke Labs

Fort Wayne, IN • On-site

Full-time

Posted 28 days ago

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

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