5 associate scientist jobs found

Requisition ID # 174283  Job Category: Engineering / Science  Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Onsite Job Location: Fresno     Department Overview Electric System Operations oversees the operations of PG&E’s transmission and distribution system to ensure the Grid is operated in a safe, reliable, compliant and event-free operation manner. The team promotes efficient work practices through communicating, collaborating, and coordinating with other departments and interconnected entities to meet safety, reliability, and customer satisfaction goals. Position Summary This job is represented by Engineers and Scientists of California (ESC) subject to collective bargaining. This is an associate-level Power Quality Engineer job that works as part of a team which provides services to identify and resolve power quality issues or problems for the safe and effective utilization of electric power. This position requires a high...

Requisition ID # 173658  Job Category: Engineering / Science  Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Onsite Job Location: West Sacramento     Department Overview   The hardworking coworkers of Electric Engineering ensure all manners of electric engineering—including electric standards and process safety, electric design engineering, instrumentation testing and controls, undergrounding, electric regulatory compliance and electric investment planning—are in place to safely enable a strategic and stable workplan for our Electric Operations partners. Our organization is accountable for program planning, financial budgeting, and project execution and delivery of all electric engineering projects. Electric Engineering is comprised of approximately 2,000 coworkers.   Position Summary   This position is represented by the Engineers and Scientists of California (ESC) subject to collective bargaining.   This is a...

Requisition ID # 174879  Job Category: Accounting / Finance  Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Hybrid Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cotati; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera;...

The Cell Quality team is a small team within the R&D organization responsible for incoming, production and field reliability. The group projects focus on mass production Li-ion cells for all programs, including Model S, X, 3, and Energy Products. The position is to support daily quality activities and process risk assessment, production quality inspection standards and reliability projections focusing on Energy Products. Candidate is expected to lead or support quality focused multidisciplinary cell-related projects, typically involving R&D, Design or Production organization. Must demonstrate the ability to effectively interface with employees throughout the company ranging from production associates to executives within Tesla and with suppliers. The engineer must be extremely organized, detail orientated, with strong ability to prioritize and multitask, successfully collaborate on projects with a range of business objectives. This person must exhibit the knowledge, leadership,...

Our team productionizes and experiments with novel ML models for our custom HW- we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). The nature of this role is multi-disciplinary - you will work at the intersection of machine learning and systems by building the co-designing ML models and their developing the associated deployment infrastructure that enables the seamless training, deployment, and inference of all neural networks that run at Tesla AI. The Role Build robust AI frameworks to lower neural networks to edge devices Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU clusters Deploy state-of-the-art neural networks on heterogenous compute, including Tesla's in-house AI ASIC, with an aim to maximize network performance while minimizing latency Collaborate with AI scientists and compiler engineers to effectively compress large models...