Sunnyvale, California USA

Sensor Technology Engineer

USD 209.7K–238.2K / yearHybridSoftware engineering (general)

MATLABPython

Original posting ↗Apply ↗Company job board ↗Follow new Python jobs in Telegram

wayve, a software company in mobility and automotive, has an open position for Sensor Technology Engineer. It is a hybrid position in Sunnyvale, United States. We classify it under software engineering (general). The stack in the posting includes MATLAB and Python. Visa sponsorship is offered. The posting mentions relocation support. Perks named in the posting: equity. There are 73 open positions from wayve on this site, 42 of them in IT and engineering.

Posted today · Last checked 2026-11-05

About wayve

Mobility and automotive Software product company 73 open positions, 58% in IT and engineering. Most open roles: Software engineering (general) (24), Data and machine learning (12), Non-software engineering and technicians (10).

All open jobs at wayve →

Similar jobs

Staff Engineer - Mobile Payments & Terminal ExperiencesAdyen · ChicagoUSD 235K–317K / year Operations Engineer, Starship Production (Starbase)SpaceX · Starbase, TX Technical Program Manager, Capacity Analytics & ToolingOpenAI · San FranciscoUSD 207K–285K / year Technical Program Manager, Research Compute ServicesOpenAI · San FranciscoUSD 207K–285K / year Technical Program Manager, Global Infrastructure PlanningOpenAI · San FranciscoUSD 207K–285K / year Technical Program Manager, Compute InfrastructureOpenAI · San FranciscoUSD 207K–285K / year Software Engineer, Fleet SystemsHumble Robotics · San FranciscoOn-site AI Developer Relations Engineer Felix · San Francisco, United StatesUSD 193K–213K / year

4,698 open software engineering (general) jobs in the United States All open jobs at wayve →

Workplace	Hybrid
Seniority	Not stated
Role	Software engineering (general)
Countries	United States
Languages	MATLABPython
Employment type	FullTime
Key facts	Stack: MATLAB, Python · Visa sponsorship: yes · Relocation support · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data