The role involves designing and qualifying test platforms for photonics components, optimizing alignment routines, and integrating test systems.
About us:
Aeva’s mission is 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. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
Role Overview:
We are looking for a Photonics test development engineer to join our test development team!
What you'll be doing:
- Responsible for design, development, and qualification of test platforms used for internal validation and deployment in our manufacturing line.
- Develop and optimize alignment routines for lens and other optical components used in our integrated core sensing optical module.
- Work with external vendors to evaluate, specify, and procure advanced test platforms and burnin stations for photonics components such as lasers, detectors, and Silicon Photonics based Photonic integrated circuits (PIC)
- Design test fixtures and integrate with motion stages for custom PIC, laser, and subassembly test platforms.
- Perform system integration of instruments and optics for photonic test systems
- Run test system debug and GR&R tests for system qualification
- Prepare and maintain detailed design documents and BOM for test systems
What you'll have:
- MS or Ph.D. in Optical engineering, Physics, Mechanical Engineering, or related technical discipline
- Experience with optical alignment systems
- Experience in Silicon Photonics R&D, laser development, or related photonics product development
- Strong experience in Python coding for instrument control and station automation
Nice to have:
- Experience with SolidWorks for designing test fixtures for motion system integration, DUT socketing mechanical design and DUT thermal management
What's in it for you:
- Be part of an early start-up that's backed by industry-leading venture capitalists
- Very competitive compensation and meaningful equity!
- Exceptional benefits: Medical, Dental, Vision, and more!
- 401k matching
- Unlimited PTO: We care about results, not punching timecards
- Paid lunches, ping pong tournaments, and fun team off-sites!
Top Skills
Python
Solidworks
Aeva, Inc. Mountain View, California, USA Office
555 Ellis St, Mountain View, CA, United States
Similar Jobs
.png)
eCommerce • Mobile
Design and scale infrastructure for machine learning models, build pipelines, and optimize for performance in a collaborative remote environment.
Top Skills:
Apache KafkaAws SagemakerDatadogDynamoDBEc2EcsEksElasticsearchFlinkGrafanaKinesisLambdaPostgresPythonRedisS3
eCommerce • Mobile
The LLM Platform Engineer will design scalable AI/ML infrastructures, develop frameworks for model evaluation, and bridge research with production solutions while collaborating with machine learning scientists.
Top Skills:
Apache KafkaAws Ec2Aws EcsAws EksAws KinesisAws LambdaAws S3Aws SagemakerDatadogDynamoDBElasticsearchFlinkGrafanaPostgresPythonRedis
eCommerce • Mobile
Design and scale the feature ingestion and storage infrastructure for AI and ML applications, optimizing performance and enabling real-time decision-making.
Top Skills:
Apache KafkaAws SagemakerDatadogDynamoDBEc2EcsEksElasticsearchFlinkGrafanaKinesisLambdaPostgresPythonRedisS3
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
