Principal Engineer and Researcher
1 month ago
Location : Mountain View, CA 94043
Pay Rate: Open
Additional Benefits : Health, Dental, Vision, 401(k), company-paid holidays and more
Type of hire: Contract, long-term with ongoing potential.
Travel: No
Position Summary:
Seeking a passionate and highly motivated Principal Engineer/Researcher for conducting research in AI modeling optimization & related software and systems for next-gen mobility services. The primary responsibility of this role is to research new and emerging AI technologies and to develop new AI model or optimization to reduce costs and speed up performance. He/She will participate in the R&D activities to build and advance AI and data infrastructure. Reporting to the General Manager, the person in this role will support the Infrastructure and Data Platform Department's objective to develop next-generation AI and data platform capable of handling millions of vehicles and provide MaaS (Mobility as a Service).
Responsibilities:
- Define research goals & tasks for AI and/or data technology.
- Work with university researchers on emergent AI technologies and algorithms.
- Research and develop (open source, commercial) AI models where these models can be used widely across multiple business services including battery, supply chain, marketing, mobility, chatgpt for support, etc.
- Innovate and develop new technologies to optimize AI models to improve AI computing.
- Lead discussions of multiple number of products/applications using emerging data and AI technologies.
- Research and develop new capabilities within AI domains, ie. Federated Learning, Decentralized and Distributed Algorithms, etc
- Develop innovative ideas and solutions for AI domains that deliver
- Better performance and Scalability
- Lower cost and reduce latency
- High Availability and Redundancy
- Observability and Reliability
- Encryption, Security, etc.
- Conduct PoC and benchmarks AI Models to compare performance, costs and other criteria.
- Establish research collaborations with leading experts in universities and industry consortiums
- Mentoring and training junior researchers in group/department wide
- Technology transfer ITL research to advanced development or valuable business contribution to the company
- Generate patents and publications research in prestigious journals and conferences
- Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise.
- Evangelize the importance of AI, generative AI, AI platform and create vision and roadmap.
- PhD in Computer Science, Math, Statistics or related field
- Hands on experience in R&D with proven credential in patents and publications - 5 year
- Strong familiarity with end-to-end data services/domains and technologies.
- PoC and Benchmarking experience in AI or data infrastructure
- Strong research interest in AI infrastructure optimization
- Research experience with AI and infrastructure, platform development, IoT, etc - 3 years
- Experience with advanced AI modeling, distributed cloud systems & architecture including clustering, logs, tools, monitoring, etc. - 3 years
- Hands-on prototyping and programming knowledge (e.g. Python, SQL/NoSQL, Kafka, Spark, etc). - 3 year
- Managed research projects, e.g., planning, reporting, and managing time / team / outside collaborators - 3 year
- Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situations
- PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field
- Corporate lab setting with a proven track record of cross functional collaboration and achievements experience
- Key components of IoT, edge, distributed cloud architecture with emphasis on connected systems - 3 years
- Experience of proof-of-concept (PoC) prototyping for connected cars and IoT systems - 3 years
- Experienced with prototyping and cloud bulk data injestion techniques (e.g. AWS, Spark, Kaftka)- 2 years
- Programming experience with Python, Rust and embedded systems (e.g. NVIDIA Jetson, Arduino, etc) - 2 years
- Working experience and knowledge of connect car architecture and vehicle compute requirements - 2 years
- Broad knowledge of Computer Systems, Software engineering and Embedded Systems
- Experience working and communicating in multicultural and multinational companies - 2 years
GTA Questions :
- Can you describe a specific AI model optimization project you've led, detailing the challenge you faced, the approach you took to improve performance or reduce costs, and the quantifiable results you achieved?
- How would you approach developing a federated learning system for connected vehicles to improve AI models while maintaining data privacy? Please outline your research methodology and potential challenges you'd anticipate.
- What is the highest level of education you have completed?
- Are you currently working? If yes, why are you currently looking to make a move?
- Based on the job description, what is your desired compensation for this role? Please do not put negotiable.
- When would you be available to interview and start this position, if selected?
- If you currently do not live near the job location and the commute is too far for you, are you willing and able to relocate at your own expense?
- Are you able to work in the U.S. without need for a Visa, other than a TN Visa for Canadian citizens?
- For submittal purposes, please provide the day and month in which you were born (We do not need the year).
- For submittal purposes, please provide the last 4 digits of your SSN.
Please note that if you are a current GTA employee or have been placed by GTA at one of our clients, we will not be able to entertain moving you. However, we are hopeful that you may know someone else who is qualified and as such you would still be eligible for our generous referral bonus program detailed below.
REFERRAL BONUS PROGRAM:
If you are able to refer a person we do hire, we can offer up to $250 for contractors after they are on the job for 90 days and up to $500 for direct hires after they are on the job between 90 days to 180 days, depending on customer payment terms.
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