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Remote Labview Software Engineer Jobs in Ann Arbor, MI

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · Remote

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

micro1 AI

Bioinformatics Software Engineer

Ann Arbor, MI · Remote

$80 - $110/hr

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 ...

micro1 AI

Bioinformatics Software Engineer

Detroit, MI · Remote

$80 - $110/hr

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 ...

X by 2

Software Engineering Manager

Detroit, MI · On-site +1

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 ...

Techcliff Group

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 ...

Birdi

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 ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 21-40

All JobsLabview Software Engineer JobsRemote Labview Software Engineer JobsRemote Labview Software Engineer Jobs in Ann Arbor, MI

Remote Labview Software Engineer information

See Ann Arbor, MI salary details

$62.1K

$144.3K

$201K

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

As of Aug 14, 2026, the average yearly pay for remote labview software engineer in Ann Arbor, MI is $144,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $169,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote LabVIEW Software Engineers, and how can they be addressed?

One common challenge for Remote Labview Software Engineers is maintaining seamless communication with hardware teams, as physical access to test equipment is often limited. This can be addressed by leveraging remote desktop tools, establishing clear documentation, and scheduling regular video meetings to review system setups and test results. Additionally, collaborating closely with onsite colleagues and utilizing simulated environments can help bridge the gap when direct hardware interaction is not possible. Staying proactive in communication and troubleshooting helps ensure projects stay on track despite the distance.

What is a Remote LabVIEW Software Engineer?

A Remote LabVIEW Software Engineer is a professional who designs, develops, and maintains software applications using National Instruments' LabVIEW platform, while working remotely from any location. They create custom solutions for test, measurement, automation, and data acquisition systems, often collaborating with engineering teams virtually. The role typically involves programming in LabVIEW, troubleshooting software and hardware integration issues, and ensuring system reliability and performance. Remote LabVIEW engineers leverage communication and project management tools to effectively work with clients and teams across different locations.

What are the key skills and qualifications needed to thrive as a Remote LabVIEW Software Engineer?

To thrive as a Remote LabVIEW Software Engineer, you need strong proficiency in LabVIEW programming, a background in electrical or computer engineering, and experience with automated test systems. Familiarity with National Instruments hardware, version control systems, and certifications such as NI Certified LabVIEW Developer (CLD) are highly valued. Excellent problem-solving, self-motivation, and clear written communication skills set top candidates apart, especially when collaborating remotely. These skills are essential for delivering reliable software solutions, ensuring effective teamwork, and maintaining project timelines in distributed work environments.

What is the difference between Remote Labview Software Engineer vs Remote Test Engineer?

AspectRemote Labview Software EngineerRemote Test Engineer
Required CredentialsBachelor's in Engineering, LabVIEW certification often preferredBachelor's in Engineering or related field, certifications may vary
Work EnvironmentDevelops and tests LabVIEW applications remotely, often in R&D or automationDesigns and executes testing procedures remotely, focusing on product validation
Employer & Industry UsageElectronics, automation, aerospace, manufacturingElectronics, automotive, aerospace, manufacturing

The main difference is that Remote Labview Software Engineers focus on developing software using LabVIEW for automation and data acquisition, while Remote Test Engineers concentrate on testing and validating products remotely. Both roles require technical skills and often work in similar industries, but their core responsibilities differ.

What are the most commonly searched types of Labview Software Engineer jobs in Ann Arbor, MI?

The most popular types of Labview Software Engineer jobs in Ann Arbor, MI are:

What are popular job titles related to Remote Labview Software Engineer jobs in Ann Arbor, MI?

For Remote Labview Software Engineer jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Remote Labview Software Engineer jobs in Ann Arbor, MI look for?

The top searched job categories for Remote Labview Software Engineer jobs in Ann Arbor, MI are:

Remote Labview Software Engineer jobs near you
Infographic showing various Remote Labview Software Engineer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 20% In-person, and 80% Remote job distribution, with an average salary of $144,327 per year, or $69.4 per hour.

Senior Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 1 hour ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata's off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with deep technical ownership and cross-team visibility. This engineer will build and maintain the systems that keep our platform running, help shape infrastructure and deployment best practices, and support less experienced engineers. This engineer will partner closely with on-device and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale.
Responsibilities
  • Support the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability
  • Contribute to strategic planning on how infrastructure solutions evolve to match Data Center partner requirements
  • Design, implement, and maintain scalable and reliable systems on AWS and/or on-premise
  • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources
  • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs)
  • Support SOC2 security compliance requirements for data handling
  • Guide team members in DevOps practices, promoting a culture of reliability and excellence
  • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention
  • Collaborate with cross-functional teams to build and maintain CI/CD pipelines
  • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions
  • Participate in on-call rotations and incident response teams
  • Assist in capacity planning, performance tuning, and technical decision-making
  • Drive continuous improvement initiatives for processes and infrastructure
Minimum Qualifications
  • 8+ years of development experience including experience in platform engineering, SRE, or distributed systems, with demonstrated senior-level impact
  • Experience designing and operating infrastructure across on-premises and cloud environments
  • Strong proficiency in container orchestration, particularly Kubernetes
  • Strong proficiency with AWS services and architecture
  • Hands-on experience with Terraform for infrastructure automation
  • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills, with experience contributing to technical outcomes
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure
  • AI workload scheduling using Kubernetes
  • Knowledge of Apache Spark for large-scale data processing
  • Knowledge of database technologies (SQL, NoSQL)
  • Understanding of networking concepts and security best practices

Salary Range: $160,000 to $190,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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