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Computer Engineer Job Jobs in Clayton, IN (NOW HIRING)

Varsity Tutors

Computer Programming Tutor

Indianapolis, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Computer Programming tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

PIVOT Workforce

CAD Technician

Indianapolis, IN

$25 - $30/hr

Indianapolis, IN Type: Full-time | On-site Department: CAD / Engineering Support About the Role: We're hiring a CAD Technician to support engineering and design teams by preparing technical drawings ...

PIVOT Workforce

CAD Designer

Indianapolis, IN

$60K - $80K/yr

CAD Designer Job Summary: As a CAD Designer, each day brings exhilarating opportunities to shape ... Collaborating closely with a team of ingenious engineers, architects, and project managers, you'll ...

EndoSec LLC

FPGA Engineer

Indianapolis, IN · On-site

$124K - $159K/yr

D.) in Electrical Engineering, Computer Engineering, or a related field - Knowledge of cryptographic algorithms and experience implementation mathematical algorithms in hardware - Experience in ...

Rolls-Royce

Systems Integration Engineer

Indianapolis, IN · Hybrid

$159K/yr

Bachelor's degree in Aerospace, Mechanical, Electrical or Computer Engineering with 2+ years of product development engineering experience, OR * Master's degree in in Aerospace, Mechanical ...

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All JobsComputer Engineer Job JobsComputer Engineer Job Jobs in Clayton, IN

Computer Engineer Job information

See Clayton, IN salary details

$49.5K

$124.1K

$140.4K

How much do computer engineer job jobs pay per year?

As of Aug 9, 2026, the average yearly pay for computer engineer job in Clayton, IN is $124,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $134,300.00 per year, depending on experience, location, and employer.

What is the difference between Computer Engineer Job vs Software Developer Job?

AspectComputer Engineer JobSoftware Developer Job
Required CredentialsBachelor's in Computer Engineering or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentHardware and software integration, labs, design teamsApplication development, coding, testing, and debugging
Employer & Industry UsageTech companies, manufacturing, R&DSoftware firms, tech startups, IT departments

Computer Engineer Jobs focus on designing and integrating hardware and software systems, often requiring knowledge of electronics and hardware components. Software Developer Jobs primarily involve writing, testing, and maintaining software applications. While both roles require programming skills, Computer Engineers have a broader scope including hardware, whereas Software Developers concentrate on software solutions. Candidates should review job descriptions to determine the best fit based on their skills and interests.

What cities near Clayton, IN are hiring for Computer Engineer Job jobs? Cities near Clayton, IN with the most Computer Engineer Job job openings:
Computer Engineer Job jobs near you
Infographic showing various Computer Engineer Job job openings in Clayton, IN as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 23% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $124,106 per year, or $59.7 per hour.

Computational Biology MLOps Engineer (Remote)

Onebridge

Indianapolis, IN • Remote

$114K - $134K/yr

Full-time

Posted 17 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA.

Computational Biology MLOps Engineer | About You

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus.

Computational Biology MLOps Engineer | Day-to-Day

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment.
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training.
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts.
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches.
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models.
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems.

Computational Biology MLOps Engineer | Skills & Experience

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure.
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows.
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries.
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing.
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX.
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure.
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.