Manufacturing Technical Project Manager, Aeva
$107.6-145.6k
+ Equity
Office located in Milpitas, CA
4DLiDAR for autonomous naviation
Job no longer available
4DLiDAR for autonomous naviation
201-500 employees
Job no longer available
$107.6-145.6k
+ Equity
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 or Master's degree in Engineering (Mechanical, Electrical, Optical engineering, or related field) or equivalent practical experience
- Prior experience with TeamCenter, Jira, and Confluence
- Proficient in data analysis and interpretation, using statistical techniques and software tools such as JMP
- Strong problem-solving skills and ability to troubleshoot technical issues effectively
- Experience with Engineering Change Orders and Product LifeCycle management
- Minimum of 7-10 years of experience in manufacturing / technical operations in a high-volume manufacturing environment
- Excellent communication and interpersonal skills to collaborate with cross-functional teams and external stakeholders
Desirable
- Prior experience with LiDAR systems
- SolidWorks experience
What the job involves
- We are seeking a skilled and experienced Manufacturing Technical Program Manager specializing in Lidar assembly and PCBA fabrication to join our dynamic team
- As a Technical Program Manager you will play a crucial role coordinating with the test engineering team and contract manufacturers in ensuring the production lines for NPI and mass production meet product quality, delivery, cost and reliability of our Lidar product
- Your expertise in mechanical assembly, dispense, SMT processes, optical assemblies, equipment maintenance and calibration, failure analysis, OCAP, statistical process control and manufacturing execution system (MES) software will be vital in driving our manufacturing processes towards excellence
- Bring up LiDAR assembly line from NPI phase to mass production
- Collaborate with cross-functional teams including engineering, quality, operations, and supply chain to define project scopes and objectives
- Manage project schedule from Production Validation through mass production ramp
- Develop equipment and processes with contract manufacturer (CM) that meet product design specifications
- Develop and analyze line design with contract manufacturer to meet annual production targets
- Develop and track Overall Equipment Efficiency (OEE) metrics. Identify gaps and corrective actions needed to bridge to target performance
- Manage BOM for production ramp and mass production
- Collaborate with engineering and CM to install assembly line equipment, perform GR&R analysis, review work instructions and operator training requirements, and track yield, line availability and takt time
- Drive DFM/DFA/DFT and PFMEA to ensure production manufacturability
- Establish yield tracking / reporting methodology and drive corrective actions with engineering and CM. Identify yield bridge to line targets
- Collaborate with cross-functional engineering teams, manufacturing, and quality assurance to troubleshoot issues and improve product performance
- Ensure on time delivery from NPI through mass production
- Drive the development and implementation of automation and line scaling supporting production volume projections
- Manage quality in the line by routinely monitoring KPIs and present reports to operations and management teams
- Prepare roadmap and capacity plans for product ramp and next-gen NPI
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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