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Remote Embedded C Programming Jobs in Minneapolis, MN

High level of proficiency in one of C/C++/Fortran and familiarity with the others * Extensive ... programming models and a working understanding of OpenMP, MPI in particular * Ability to measure ...

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Remote Embedded C Programming information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

How much do remote embedded c programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote embedded c programming in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What is remote embedded C programming?

Remote embedded C programming involves developing software for embedded systems using the C programming language, while working from a remote location. Embedded systems are specialized computing devices found in products like medical devices, automobiles, appliances, and industrial machines. Remote programmers typically connect to their employer's or client's systems via secure networks to write, test, and debug code. This job requires strong knowledge of C, experience with microcontrollers or processors, and an understanding of hardware-software integration.

What are the key skills and qualifications needed to thrive as a remote embedded C programmer?

To thrive as a Remote Embedded C Programmer, you need a solid background in C programming, embedded systems design, and hardware-software integration, often supported by a relevant engineering degree. Familiarity with microcontroller development environments, version control systems like Git, and debugging tools such as oscilloscopes or logic analyzers is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, distributed teams. These skills are crucial for delivering reliable embedded solutions, meeting project deadlines, and ensuring seamless coordination despite working remotely.

What are some common challenges faced by remote embedded C programmers, and how can they be addressed?

Remote embedded C programmers often face challenges such as limited access to physical hardware for testing, coordinating with cross-functional teams in different time zones, and debugging complex, hardware-dependent issues remotely. To address these obstacles, professionals typically use hardware simulators, remote access tools, and robust version control systems. Regular virtual meetings, thorough documentation, and proactive communication with hardware and firmware teams are also essential for efficient collaboration and project success.

What are the most commonly searched types of Embedded C Programming jobs in Minneapolis, MN?

The most popular types of Embedded C Programming jobs in Minneapolis, MN are:

What job categories do people searching Remote Embedded C Programming jobs in Minneapolis, MN look for?

The top searched job categories for Remote Embedded C Programming jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Remote Embedded C Programming jobs?

Cities near Minneapolis, MN with the most Remote Embedded C Programming job openings:

Infographic showing various Remote Embedded C Programming job openings in Minneapolis, MN as of June 2026, with employment types broken down into 3% As Needed, 75% Full Time, 13% Part Time, 3% Temporary, and 6% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $160,102 per year, or $77 per hour.

HPC Applications Engineer

NextSilicon

Minneapolis, MN โ€ข On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

We are looking for an experienced Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.
As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!
Requirements
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred

  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision

Desired Skills:
  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch

Responsibilities
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures