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Senior Unix Engineer Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Tech Tammina

Sr. Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Hybrid - Okemos, MI Angular 17 or Angular 19 experience Must We are looking for a Senior Full stack ... Unix / Shell Scripts • Docker • Memcache / REDIS • SAML • CI/CD processes • DevOps ...

Sonsoft Inc

Sr. .Net Developer

Ann Arbor, MI

$53.25 - $70.50/hr

... UNIX, and Linux. --> Analyze and recommend solutions to programming issues, defects and bugs as assigned or encountered. --> Translate the detail design to perform programming tasks to complete the ...

Tech Tammina

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Senior Full Stack Developer, AI-Assisted Development Location: Hybrid (minimum of 4 days a week in ... Unix / Shell scripting • Docker • Memcache / Redis • SAML

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All JobsUnix Engineer JobsSenior Unix Engineer JobsSenior Unix Engineer Jobs in Michigan

Senior Unix Engineer information

See Michigan salary details

$51.9K

$110.3K

$159.9K

How much do senior unix engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior unix engineer in Michigan is $110,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior Unix engineer?

To thrive as a Senior Unix Engineer, you need deep expertise in Unix/Linux system administration, scripting, troubleshooting, and a relevant degree or equivalent experience. Familiarity with automation tools (such as Ansible or Puppet), shell scripting languages (like Bash or Perl), and certifications like RHCE or CompTIA Linux+ is highly valued. Strong problem-solving skills, effective communication, and the ability to mentor junior staff help set top performers apart in this role. These skills ensure reliable systems, smooth operations, and robust support for complex enterprise environments.

What does a senior Unix engineer do?

A Senior Unix Engineer is responsible for designing, implementing, and maintaining Unix-based systems within an organization. They handle advanced troubleshooting, system performance tuning, security configurations, and ensure the reliability and scalability of Unix infrastructure. In addition, they often mentor junior engineers, develop automation scripts, and collaborate with other IT teams to support business operations. Their expertise is crucial for managing large-scale, mission-critical environments.

What is the difference between Senior Unix Engineer vs System Administrator?

AspectSenior Unix EngineerSystem Administrator
CredentialsBachelor's in Computer Science, Unix/Linux certifications (e.g., RHCE, LPIC)Bachelor's in IT or related field, Linux/Unix certifications often preferred
Work EnvironmentDesigning, implementing, and maintaining Unix systems, often in enterprise environmentsManaging daily system operations, troubleshooting, and user support
Industry UsageTech, finance, healthcare, and large enterprisesVaries across industries, including small to large organizations
Search & Comparison IntentFocus on advanced Unix skills and system designFocus on operational support and system maintenance

The main difference is that Senior Unix Engineers focus on designing and optimizing Unix systems, while System Administrators handle daily operations and support. Both roles require similar certifications and work in related environments, but their responsibilities differ in scope and complexity.

What are some of the most common challenges faced by senior Unix engineers in a large enterprise environment?

Senior Unix Engineers in large enterprises often face challenges related to managing complex, heterogeneous server environments and ensuring high availability. Balancing routine maintenance, security patching, and system upgrades with the need to minimize downtime can be demanding. Additionally, staying up to date with evolving technologies and scripting languages, while coordinating with cross-functional teams like network, storage, and application groups, requires strong communication and problem-solving skills.
What are popular job titles related to Senior Unix Engineer jobs in Michigan? For Senior Unix Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Unix Engineer jobs in Michigan look for? The top searched job categories for Senior Unix Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Unix Engineer jobs? Cities in Michigan with the most Senior Unix Engineer job openings:
Senior Unix Engineer jobs near you
Infographic showing various Senior Unix Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,306 per year, or $53 per hour.

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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