Senior Mechanical Engineer, Vehicle Integration & Validation

Teleo
Palo Alto
Workplace: OnsiteFull timeUSD 180,000 - 230,000 annuallyFunction: Field Service, Maintenance & Skilled TradesExperience: 7+ yearsEducation: mastersSkills: ["Ownership","Cross-functional collaboration","Systems thinking","Troubleshooting","First-principles design"]

Own system-level integration architecture for Teleo’s autonomy retrofit across multiple heavy equipment platforms. Drive environmental qualification strategies (IP, thermal, shock/vibration, EMI/EMC) and establish validation methodologies and test plans. Integrate high-power compute and perception sensors, standardize harness/grounding/connector strategies, and support transitions from pilot builds to production ramp while maintaining scalable, reusable integration frameworks.

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FursaFursa
Teleo
Teleo
5 months ago

Senior Mechanical Engineer, Vehicle Integration & Validation

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own system-level integration architecture for Teleo’s autonomy retrofit across multiple heavy equipment platforms. Drive environmental qualification strategies (IP, thermal, shock/vibration, EMI/EMC) and establish validation methodologies and test plans. Integrate high-power compute and perception sensors, standardize harness/grounding/connector strategies, and support transitions from pilot builds to production ramp while maintaining scalable, reusable integration frameworks.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Field Service, Maintenance & Skilled Trades
Seniority: Mid level

Key Responsibilities

  • •Lead system-level integration architecture for new vehicle platforms and define scalable, reusable integration frameworks across equipment types.
  • •Design and review mechanical structures, enclosures, and compute integration strategies for deployment across diverse vehicle makes/models.
  • •Own environmental qualification strategy (IP, thermal, shock/vibration, EMI/EMC) and establish validation methodologies and qualification test plans.
  • •Drive harness architecture, grounding strategy, and connector selection standards; guide sensor and high-power compute integration in demanding environments.
  • •Transition hardware from low-volume pilot builds to high-volume production, including DFM optimization and technical management of contract manufacturers (CMs).
Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Key Requirements

  • •7+ years of experience in mechanical, mechatronics, or vehicle systems engineering roles.
  • •Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or a closely related field.
  • •Demonstrated ownership of complex, multi-disciplinary hardware systems from architecture through deployment.
  • •Experience designing systems for harsh environments and defining/executing environmental qualification and regulatory strategies (IP rating, thermal modeling/test correlation, shock/vibration, EMI/EMC).
  • •Extensive experience integrating high-power compute platforms and perception sensors in vehicle environments, including harness architecture, connectors, grounding, shielding, and power distribution.
Experience:7+ yearsRoboticsAutonomous systemsHardware engineering
Education:Master's in Mechanical Engineering, Mechatronics, or a closely related field
Skills:OwnershipCross-functional collaborationSystems thinkingTroubleshootingFirst-principles design
Certifications:ISO 26262IECDOT/FMVSS
Tech Stack:CADPLMBOMECODFMIP rating validationThermal modelingThermal test correlationShock and vibration test designEMI/EMC qualificationLiDARCamerasHarness architectureConnectorsGroundingShieldingPower distributionIngress protectionTechnical certifications

Company Brief

Teleo
Develops AI-driven conversational agents and voice assistants to automate customer interactions, sales outreach, and support workflows across phone and digital channels, aiming to improve efficiency and engagement for businesses.
Industry: AI & Machine Learning
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