Reliability Test Engineer, Aeva

$103.7-145.6k

+ Stock grants

Python
MatLab
Junior and Mid level
San Francisco Bay Area

Office located in Mountain View, CA

Aeva

Sensory perception technology for all devices

Be an early applicant

Aeva

Sensory perception technology for all devices

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Be an early applicant

$103.7-145.6k

+ Stock grants

Python
MatLab
Junior and Mid level
San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Company mission

To enable all devices to navigate the world autonomously.

Role

Who you are

  • Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, or a related technical discipline
  • 2+ years of hands-on experience in a hardware R&D lab or industry setting, specializing in the testing of electrical and mechanical components and systems
  • Experience with transducers, sensors, electrical circuits, signal processing, and data acquisition systems, including their integration and optimization in testing environments
  • Proficient in MATLAB and Python
  • Experience with failure analysis techniques
  • Experience with reliability testing methods including environmental chamber - programming and operation, mechanical testing, and electrical testing of consumer electronics
  • Strong problem-solving skills and experience with root cause analysis and corrective action processes

Desirable

  • Experience with Labview and NI Instruments
  • Familiarity with EMC testing and debugging techniques
  • Good understanding of control systems theory

What the job involves

  • We are looking for a Reliability Test Engineer to join our dynamic Quality and Reliability Team
  • In this pivotal role, you will be responsible for developing and executing comprehensive test strategies and protocols to guarantee reliable operation of Aeva's state-of-the-art 4D LiDAR
  • Your expertise will be vital in upholding the highest standards of excellence within our organization
  • Design and develop comprehensive reliability test plans, protocols, and procedures for Aeva’s LiDAR systems and modules
  • Conduct reliability testing, including environmental, mechanical, thermal, and electrical stress tests
  • Diagnose and resolve issues in mechanical or electrical test setups, equipment, and signal processing
  • Manage and optimize lab test instrumentation and data acquisition systems
  • Create automated test setups and scripts to efficiently conduct reliability tests
  • Identify and implement improvements in test processes and methodologies
  • Analyze test results, identify failure modes, and perform statistical analysis on test data to assess product reliability
  • Prepare detailed test reports, documenting test procedures, results, and recommended actions
  • Present findings to engineering and management teams to drive data-driven decisions
  • Work closely with the design and manufacturing teams to implement design changes based on reliability testing outcomes
  • Stay updated on industry standards, best practices, and emerging technologies in reliability engineering

Our take

The development of self-driving cars presents enormous opportunities for transportation, shipping, and ride-hailing industries, but getting these cars to run flawlessly is difficult. Cameras and radar sensors are used to detect obstacles for safe automated driving, but existing technology does not analyze enough data to meet these expectations.

Aeva builds sensory perception technology that maps the physical world around a vehicle on a granular basis to contribute towards the development of fully self-driving cars. The sensory system relies on what the company describes as being the world’s first 4D LiDAR-on-Chip. This technology comprises of sensors that detect objects and events up to 300m away, recognize velocity-per-pixel, and are immune to interference from neighboring frequencies.

Companies such as Tesla are already developing successful and safe fully self-driving software for their cars, but Aeva's approach to LiDar presents some serious competition to the existing camera-based technology. Despite further competition from Luminar and Velodyne, Aeva remains unique due to the condensed presentation of their technology into a tiny chip.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

5% employee growth in 12 months

Company

Funding (2 rounds)

Oct 2018

$45m

SERIES A

Jan 2017

$3.5m

SEED

Total funding: $48.5m

Company benefits

  • Vision and dental insurance
  • 401k plan
  • Company equity
  • Flexible working hours
  • Work from home opportunities
  • Health insurance

Company HQ

Mountain View, CA

Leadership

Soroush Salehian

(Co-founder)

Soroush studied Mechanical Engineering at Stanford before founding BlueLibris in June 2010. They then spent almost 5 years as an Apple Product Development Manager before co-founding Aeva in January 2017.

Mina Rezk

(Co-founder)

Having studied for a Bachelor's and Master's at George Mason University in Electrical Engineering, Mina spent 11 years as a Nikon Metrology Hardware Development Manager. They spent 2 years in Sensing Engineering at Apple before founding Aeva with Soroush in 2017.

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