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Computer Engineer Jobs in Indianapolis, IN (NOW HIRING)

Required Experience: - Minimum 5yr experience with repairing, trouble shooting, and maintaining electronics and computers systems. - Demonstrated experience with local and wide area networks ...

CAD/CAM Engineer

Indianapolis, IN · On-site

$35 - $45/hr

Position Title: CAD/CAM PROGRAMMER Position Summary: Under limited supervision, create CNC programs using Siemens NX software for multi-axis CNC Mill machines. As well as, to program Multi Axis Lathe ...

Required Experience: - Minimum 5yr experience with repairing, trouble shooting, and maintaining electronics and computers systems. - Demonstrated experience with local and wide area networks ...

Established in 1960 and with nearly 90 employees, Weihe Engineers enables its clients with site ... As a CAD Technician, you'll be working on a dedicated team and working closely with a Project ...

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 ...

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Computer Engineer information

See Indianapolis, IN salary details

$46.4K

$116.2K

$131.4K

How much do computer engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for computer engineer in Indianapolis, IN is $116,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $125,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $300,000 or more annually, often with extensive experience, advanced skills, and sometimes in leadership roles or high-demand industries. Compensation varies based on location, company size, and individual expertise, with some professionals also earning through stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Computer Engineer, and why are they important?

To thrive as a Computer Engineer, you need a strong background in computer science, mathematics, and hardware/software design, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), circuit design tools, and industry certifications like CompTIA or Cisco are highly valuable. Problem-solving, teamwork, and effective communication are essential soft skills that set top performers apart. These abilities ensure that computer engineers can design, implement, and optimize systems that meet technical requirements and business goals.

Are computer engineers highly paid?

Computer engineers typically earn above-average salaries compared to many other professions, especially with experience, specialized skills, and certifications in areas like hardware design, software development, or network systems. Salary levels can vary based on industry, location, and level of expertise, but overall, the profession is considered well-compensated.

What is the difference between Computer Engineer vs Software Developer?

AspectComputer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related field; certifications like Cisco, CompTIABachelor's in Computer Science or Software Engineering; certifications like Microsoft, AWS
Work EnvironmentDesigning hardware, embedded systems, and software integration in labs or officesWriting, testing, and maintaining software applications in offices or remote setups
Employer & Industry UsageTech companies, manufacturing, telecommunications, embedded systemsIT firms, software companies, startups, enterprise software development

Computer Engineers focus on both hardware and software systems, often working on embedded systems and hardware integration. Software Developers primarily create and maintain software applications. While their roles overlap in programming, Computer Engineers have a broader scope including hardware design, whereas Software Developers specialize in software solutions.

What jobs does a Computer Engineer do?

A Computer Engineer designs, develops, and tests computer hardware and software systems. They work on creating integrated circuits, embedded systems, and computer networks, often using programming languages and engineering principles. Their work may involve troubleshooting, system optimization, and collaborating with software developers and other engineers.

What engineer makes $500,000 a year?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of high base salary, bonuses, and stock options. Such compensation typically requires extensive experience, advanced skills, and work at large tech companies or startups with significant funding.

What Is a Computer Engineer?

A computer engineer designs, researches, tests, and develops computer equipment and software such as circuit boards, chips, routers, and application programs. Computer engineers analyze complex equipment and systems to understand the best way to improve it. They create new types of information technology devices and use logic and reasoning to hone in on goals, test assumptions, and identify the strengths and weaknesses of alternative solutions to problems. Engineers often work in teams and have to be able to communicate with other types of engineers, including non-technical team members. Computer engineers make sure that components fit together properly and function according to the latest software developments.

What are computer engineers?

Computer engineers are professionals who design, develop, test, and maintain computer hardware and software systems. They work at the intersection of electrical engineering and computer science, focusing on how computer systems function and how they can be improved. Their roles can involve creating microprocessors, designing circuit boards, developing embedded systems, and optimizing software for hardware performance. Computer engineers play a crucial role in advancing technology across industries, from consumer electronics to aerospace and healthcare.

What are common challenges computer engineers face when working on cross-functional teams?

Computer engineers often collaborate with software developers, hardware designers, and project managers, which can present challenges in aligning technical requirements and communication styles. Ensuring that everyone has a clear understanding of system limitations and integration points is crucial, as miscommunication can lead to project delays or rework. Staying adaptable and proactively clarifying expectations helps computer engineers navigate these collaborative environments successfully.
What are the most commonly searched types of Computer Engineer jobs in Indianapolis, IN? The most popular types of Computer Engineer jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Computer Engineer jobs? Cities near Indianapolis, IN with the most Computer Engineer job openings:
Infographic showing various Computer Engineer job openings in Indianapolis, IN as of July 2026, with employment types broken down into 4% Internship, 83% Full Time, 9% Part Time, and 4% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $116,152 per year, or $55.8 per hour.

Computational Biology MLOps Engineer (Remote)

Onebridge

Indianapolis, IN • Remote

$114K - $134K/yr

Full-time

Posted 7 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.