Canus Tech
2 days ago Be among the first 25 applicants
This range is provided by Canus Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $70,000.00/yr - $75,000.00/yr
Canus Tech is seeking a
hands‑on Autonomy Validation Engineer
to support validation and testing of large autonomous heavy‑equipment systems. The role involves field‑based testing, troubleshooting, and data analysis in a rugged outdoor environment. Ideal candidates are passionate about autonomous systems and enjoy working directly with machines in real‑world conditions.
Key Responsibilities
Testing & Validation (Approx. 50%): Plan, organize, and execute machine tests for autonomous vehicle systems in field conditions.
Coordinate test activities with operators and engineering teams.
Troubleshoot mechanical, electrical, and software issues during tests.
Document issues and support root‑cause analysis.
Office & Data Analysis (Approx. 50%): Collaborate with software development and system engineering teams to review test results.
Update and maintain test plans, procedures, and validation documentation.
Perform data extraction, visualization, and analysis to support system performance evaluation.
Participate in customer demonstrations and gather end‑user feedback.
Required Skills & Qualifications
Strong troubleshooting skills across mechanical, electrical, and software domains.
Hands‑on testing or validation experience on vehicle or machine systems.
Working knowledge of Windows; familiarity with Linux/Ubuntu preferred.
Ability to read and interpret electrical schematics and technical documentation.
Experience with data analysis tools (Python, Excel, MATLAB, or similar).
Excellent problem‑solving, time‑management, and communication skills.
Self‑motivated with the ability to work independently on second shift and coordinate with global teams.
Preferred Backgrounds
Autonomous systems R&D or validation (perception, planning, positioning).
Automotive validation with on‑vehicle testing exposure.
Heavy machinery or off‑highway equipment experience (mining, construction, agriculture).
Validation engineers with strong system‑level exposure are encouraged to apply.
Candidate Profile
Open to early‑career and experienced engineers with the right attitude and aptitude.
Must be enthusiastic about autonomous vehicle technology and field testing work.
Physically fit to operate in outdoor environments and handle equipment safely.
Why Join Canus Resources
Work on cutting‑edge autonomous vehicle validation projects with industry leaders.
Opportunity to gain hands‑on field experience and grow within the autonomy engineering domain.
Supportive project team environment with career development opportunities.
Seniority level
Entry level
Employment type
Full‑time
Job function
Quality Assurance
Industries
IT Services and IT Consulting
Industrial Machinery Manufacturing
Referrals increase your chances of interviewing at Canus Tech by 2x
Get notified about new Validation Engineer jobs in
Tucson, AZ .
Tucson, AZ $78,853.00-$236,579.00 3 months ago
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This range is provided by Canus Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $70,000.00/yr - $75,000.00/yr
Canus Tech is seeking a
hands‑on Autonomy Validation Engineer
to support validation and testing of large autonomous heavy‑equipment systems. The role involves field‑based testing, troubleshooting, and data analysis in a rugged outdoor environment. Ideal candidates are passionate about autonomous systems and enjoy working directly with machines in real‑world conditions.
Key Responsibilities
Testing & Validation (Approx. 50%): Plan, organize, and execute machine tests for autonomous vehicle systems in field conditions.
Coordinate test activities with operators and engineering teams.
Troubleshoot mechanical, electrical, and software issues during tests.
Document issues and support root‑cause analysis.
Office & Data Analysis (Approx. 50%): Collaborate with software development and system engineering teams to review test results.
Update and maintain test plans, procedures, and validation documentation.
Perform data extraction, visualization, and analysis to support system performance evaluation.
Participate in customer demonstrations and gather end‑user feedback.
Required Skills & Qualifications
Strong troubleshooting skills across mechanical, electrical, and software domains.
Hands‑on testing or validation experience on vehicle or machine systems.
Working knowledge of Windows; familiarity with Linux/Ubuntu preferred.
Ability to read and interpret electrical schematics and technical documentation.
Experience with data analysis tools (Python, Excel, MATLAB, or similar).
Excellent problem‑solving, time‑management, and communication skills.
Self‑motivated with the ability to work independently on second shift and coordinate with global teams.
Preferred Backgrounds
Autonomous systems R&D or validation (perception, planning, positioning).
Automotive validation with on‑vehicle testing exposure.
Heavy machinery or off‑highway equipment experience (mining, construction, agriculture).
Validation engineers with strong system‑level exposure are encouraged to apply.
Candidate Profile
Open to early‑career and experienced engineers with the right attitude and aptitude.
Must be enthusiastic about autonomous vehicle technology and field testing work.
Physically fit to operate in outdoor environments and handle equipment safely.
Why Join Canus Resources
Work on cutting‑edge autonomous vehicle validation projects with industry leaders.
Opportunity to gain hands‑on field experience and grow within the autonomy engineering domain.
Supportive project team environment with career development opportunities.
Seniority level
Entry level
Employment type
Full‑time
Job function
Quality Assurance
Industries
IT Services and IT Consulting
Industrial Machinery Manufacturing
Referrals increase your chances of interviewing at Canus Tech by 2x
Get notified about new Validation Engineer jobs in
Tucson, AZ .
Tucson, AZ $78,853.00-$236,579.00 3 months ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr