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TRCI-26-06884
Radar Support Engineer
This contract Radar Support Engineer will support a global automotive company’s in-cabin radar development, testing, and validation work. The role combines hands-on lab and vehicle activity—including hardware flashing, sensor calibration, data collection and quality checks—with Python automation, regression testing, and execution of machine-learning pipelines. Core requirements include 1–3 years of practical electronic hardware and test-bench experience, working knowledge of Python, pandas, and NumPy, and familiarity with ML training and evaluation using PyTorch or TensorFlow; a relevant bachelor’s degree or equivalent hands-on experience is requested. Radar or signal-processing exposure, automotive testing, sensor synchronization, Docker/MLOps, and CAN are preferred rather than required. The project is in Northville, Michigan, USA, but onsite/hybrid arrangements are not specified; the engagement is listed as a contract with possible contract-to-hire conversion, while duration and start date are unspecified, and national travel plus less than 10% international travel are expected.
Position summary
- Location
- United States of America (the)
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 1 years and Maximum 3 years
Role overview
Why This Role Matters.
This contract Radar Support Engineer will support a global automotive company’s in-cabin radar development, testing, and validation work. The role combines hands-on lab and vehicle activity—including hardware flashing, sensor calibration, data collection and quality checks—with Python automation, regression testing, and execution of machine-learning pipelines. Core requirements include 1–3 years of practical electronic hardware and test-bench experience, working knowledge of Python, pandas, and NumPy, and familiarity with ML training and evaluation using PyTorch or TensorFlow; a relevant bachelor’s degree or equivalent hands-on experience is requested. Radar or signal-processing exposure, automotive testing, sensor synchronization, Docker/MLOps, and CAN are preferred rather than required. The project is in Northville, Michigan, USA, but onsite/hybrid arrangements are not specified; the engagement is listed as a contract with possible contract-to-hire conversion, while duration and start date are unspecified, and national travel plus less than 10% international travel are expected.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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The engineer will work with radar, validation, data collection, algorithm, firmware and tools teams. The position includes
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practical lab and vehicle work, data preparation, Python automation, troubleshooting and structured regression testing.
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This opportunity has the potential to become a contract-to-hire role if the contractor performs well and meets the client’s
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Hardware flashing: Flash firmware, machine-learning models and configuration or calibration data onto radar hardware.
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Sensor calibration: Execute sensor and antenna calibration in chambers, laboratory setups and vehicles, including headliner
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Data collection: Run campaigns in vehicles, laboratories and calibration chambers according to the collection plan.
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Data quality: Check completeness, label accuracy, synchronization and metadata after each session, and resolve issues.
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Dataset preparation: Name, organize, index and document datasets before delivery to the algorithm team.
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ML pipeline execution: Run training and evaluation pipelines, as well as vehicle-tuning evaluations.
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Regression testing: Run tests after software, model or configuration updates and report results.
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Python automation: Write and improve scripts for flashing, logging, data conversion, quality checks and regression
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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Python
Required
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pandas
Required
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NumPy
Required
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PyTorch
Required
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TensorFlow
Required
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Windows
Required
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Linux
Required
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command line
Required
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CSV
Required
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JSON
Required
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Excel
Required
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Git
Required
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Jira
Required
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Confluence
Required
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Ethernet
Required
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CAN
Required
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Docker
Required
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MLOps
Required
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MATLAB
Required
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radar calibration
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Practical electronic hardware, laboratory equipment, and test-bench experience
Python programming with pandas and NumPy for data processing and automation
Familiarity with machine-learning training and evaluation using PyTorch or TensorFlow
Windows and Linux command-line usage
Handling CSV, JSON, and Excel data
Use of Git, Jira, and Confluence
Use of Ethernet traffic-analysis tools
Structured testing, documentation, and collaboration across multidisciplinary teams
Relevant bachelor's degree or equivalent hands-on experience
Preferred
Nice to Have
Radar or signal-processing coursework or project experience
Camera data handling and sensor synchronization
Practical machine-learning execution, MLOps tools, or Docker
Automotive laboratory and vehicle-test experience
MATLAB or similar engineering tools
CAN and automotive Ethernet protocols and tools
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Radar Support Engineer
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