Supplier Quality Engineer, Aeva
$125.8-170.2k
Plus meaningful stock grants
Office located in Milpitas, CA
4DLiDAR for autonomous naviation
Open for applications
4DLiDAR for autonomous naviation
201-500 employees
Open for applications
$125.8-170.2k
Plus meaningful stock grants
Office located in Milpitas, CA
201-500 employees
Company mission
To bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.
Role
Who you are
- Bachelor’s degree in mechanical, electrical, or industrial engineering, or a related technical discipline
- 5+ years work experience in a manufacturing or quality role
- Advanced knowledge of high-volume manufacturing processes and inspection methodologies
- Expert in automotive quality management standards and processes
- Proficient in applying IATF 16949 core tools including Advanced Product Quality Planning (APQP), Statistical Process Control (SPC), Measurement System Analysis (MSA), Failure Mode and Effects Analysis (FMEA) and Production Part Approval Process (PPAP)
- Self-starter who can manage multiple projects simultaneously and adapt to new challenges within a fast-paced environment
- Strong analytical and problem-solving skills with the ability to define complex problem statements, identify root cause and implement corrective and preventative actions
- Excellent communication skills and team player with strong interpersonal skills
- Experienced in selecting and developing new suppliers and performing process audits to accepted industry standards, i.e. ISO-9001, IATF-6949, VDA6.3
- Ability and willingness to travel domestically and internationally
- Certified ISO 9001, IATF-16949, or VDA6.3 Auditor
- Working experience with Jira and Confluence
- Six Sigma Green or Black Belt accredited is a plus
What the job involves
- We are looking for an experienced Supplier Quality Engineer to join our core Quality team. You will have total ownership of supplier quality through the entire lifecycle, from initial sourcing through development, tooling, and industrialization as well as product launch and ongoing business management
- Collaborate with Product Development team to establish new product and process control standards for mechanical, optical, and electronic components and assemblies
- Develop robust control plans with our manufacturing partners to ensure highest product quality and zero defects
- Implement APQP (Advanced Product Quality Planning) processes with suppliers from the initial design stage through PPAP submission and start of mass production
- Perform supplier audits and site inspections to verify compliance with automotive quality management processes
- Investigate supplier quality issues to determine root cause and implement corrective and preventative actions
- Establish inspection plans, design new test methodologies and qualify precision inspection tools and gauges
- Identify and lead improvement initiatives to optimize key process indicators
- Help select suitable suppliers with the right commercial and technical capabilities to meet Aeva’s quality expectations and project timelines
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 sensors that detect objects and events up to 300m away, recognize velocity-per-pixel, and are immune to interference from neighbouring 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 and has even secured a partnership with NVIDIA to integrate its 4D LiDAR into the DRIVE Hyperion autonomous vehicle platform, placing its technology at the core of how future self-driving cars will see, understand, and safely navigate the road.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
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 HQ
Mountain View, CA
Leadership
Soroush Salehian
(Co-Founder & CEO)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.
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