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Remote Graduate Embedded Software Engineer Jobs in Clearfield, UT

Circle

Manager, Software Engineering

Salt Lake City, UT · On-site +1

$195K - $257K/yr

Lead agile software processes for engineering teams and introduce best-in-class industry practices ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

Packsize

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Application Security Engineer About the Role Packsize is seeking an experienced Application ... remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud ...

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All JobsGraduate Embedded Software Engineer JobsRemote Graduate Embedded Software Engineer JobsRemote Graduate Embedded Software Engineer Jobs in Clearfield, UT

Remote Graduate Embedded Software Engineer information

See Clearfield, UT salary details

$65.2K

$143K

$162.2K

How much do remote graduate embedded software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote graduate embedded software engineer in Clearfield, UT is $142,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $161,300.00 per year, depending on experience, location, and employer.

What is a remote graduate embedded software engineer?

A Remote Graduate Embedded Software Engineer is an entry-level professional who designs, develops, and tests software that runs on embedded systems—such as microcontrollers and specialized hardware—while working remotely. They typically work on firmware, device drivers, and real-time operating systems for products like IoT devices, automotive systems, and consumer electronics. This role is well-suited for recent graduates with a background in computer engineering, electrical engineering, or computer science who are looking to start their careers in embedded systems while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote graduate embedded software engineer?

To thrive as a Remote Graduate Embedded Software Engineer, you need a solid understanding of C/C++ programming, embedded systems concepts, and a relevant engineering or computer science degree. Familiarity with microcontroller development environments, version control systems like Git, and possibly certifications such as ARM Accredited Engineer are commonly expected. Strong problem-solving skills, self-motivation, and effective remote communication set outstanding candidates apart. These competencies ensure reliable software development, efficient collaboration, and adaptability to the unique challenges of remote embedded engineering work.

What are some common challenges faced by remote graduate embedded software engineers, and how can they overcome them?

Remote Graduate Embedded Software Engineers often encounter challenges such as effective communication with cross-functional teams, understanding hardware constraints without physical access to devices, and managing time independently. To overcome these, it's important to proactively seek regular check-ins with mentors, make use of remote debugging tools and simulators, and maintain well-documented code. Building strong organizational habits and leveraging collaborative platforms can greatly improve productivity and team integration.

What cities near Clearfield, UT are hiring for Remote Graduate Embedded Software Engineer jobs?

Cities near Clearfield, UT with the most Remote Graduate Embedded Software Engineer job openings:

Remote Graduate Embedded Software Engineer jobs near you
Infographic showing various Remote Graduate Embedded Software Engineer job openings in Clearfield, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,974 per year, or $68.7 per hour.

Bioinformatics Software Engineer

micro1 AI

Salt Lake City, UT • Remote

$80 - $110/hr

Part-time

Posted 15 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.

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