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Remote Software Engineer Gpu Jobs in Detroit, MI

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

We're looking for software engineers that have started playing project team management and ... Hybrid remote model allows the flexibility to work remotely as much as desired. * Paid time off for ...

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ... Software Test Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

Mulesoft Developer

Dearborn Heights, MI · Remote

$51.50 - $68.25/hr

Experienced MuleSoft Software developer with expertise in designing, developing and testing ... Position can be Remote but Hybrid preferred. Skills Required: Mulesoft, JAVA, Github, Jenkins ...

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

Applying modern software development practices, you will be involved in the entire software ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

Showing results 41-60

Remote Software Engineer Gpu information

See Detroit, MI salary details

$62.9K

$146K

$203.4K

How much do remote software engineer gpu jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote software engineer gpu in Detroit, MI is $146,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Software Engineer Gpu vs Remote Software Engineer?

AspectRemote Software Engineer GpuRemote Software Engineer
Required CredentialsBachelor's in CS, experience with GPU programming (CUDA, OpenCL)Bachelor's in CS or related, general programming skills
Work EnvironmentCollaborates with AI, graphics, or high-performance computing teamsWorks on diverse software projects across industries
Industry UsageTech, gaming, AI, scientific computingTech, finance, healthcare, startups

The main difference is that Remote Software Engineer Gpu specializes in GPU programming and high-performance computing, while a Remote Software Engineer has a broader focus on general software development across various domains. GPU roles require specific knowledge of GPU architectures and parallel processing, whereas general software engineers work on a wider range of applications.

What are the most commonly searched types of Software Engineer Gpu jobs in Detroit, MI?

The most popular types of Software Engineer Gpu jobs in Detroit, MI are:

What are popular job titles related to Remote Software Engineer Gpu jobs in Detroit, MI?

For Remote Software Engineer Gpu jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineer Gpu jobs in Detroit, MI look for?

The top searched job categories for Remote Software Engineer Gpu jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Software Engineer Gpu jobs?

Cities near Detroit, MI with the most Remote Software Engineer Gpu job openings:

Bioinformatics Software Engineer

micro1 AI

Dearborn, MI • Remote

$80 - $110/hr

Part-time

Posted 16 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.