Maintain, validate, and troubleshoot building automation and monitoring systems to ensure accurate visibility, reliable alarms, and continuous operational performance in a critical environment.
Compensation
The compensation for the position is: $44.96 - $52.889423
Responsibilities
Maintain BMS, EPMS, and DCIM systems, including sensor/device calibration and validation.
Verify monitoring accuracy, alarm integrity, and sequence-of-operation performance after maintenance or system changes.
Perform preventive maintenance on control panels, controllers, network connections, control cabinets, and field devices.
Troubleshoot controls issues, support restoration activities, and assist with incident response related to control system faults.
Perform alarm rationalization, corrective maintenance, system trending, and analysis to identify and resolve reliability issues.
Conduct engineering in core AI and machine learning fields to enable Embodied AI for related business domains of ADAS/AD, industrial automation, robotics etc.
Compensation
We offer a competitive base salary for this position with a range in US-California of --$160,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time.
Responsibilities
Conduct engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.
Push the boundaries in AI based Robotics, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability.
Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.
Requirements
Ph.D. in Computer Science, Robotics or a related discipline
Principal Technician responsible for construction, testing, and maintenance of electro-optical setups, leading a high-performing MRO Electro Optics team.
Responsibilities
Build, lead, and support a high-performing MRO Electro Optics team
Supervise daily activities to guarantee that maintenance and repair processes comply with quality and production standards
Drive achievement of safety, quality, delivery, and productivity targets through clear leadership and standardized work practices
Execute Daily Management and Leader Standard Work to maintain operational discipline and continuous improvement
Confer with engineers, customers, vendors and others to discuss existing and potential engineering projects or products
Requirements
Bachelor in Engineering (electro-optics/electronic/electrical/mechanical)
Nice to have: Master in Engineering (electro-optics/electronic/electrical/mechanical)
Lead the development of sensor calibration, mapping, and localization systems for a multi-vehicle fleet, ensuring accurate perception and planning models.
Compensation
$200,000 - $300,000
Responsibilities
Design and implement sensor calibration systems (camera, LiDAR, radar, IMU) for factory and in-field use
Build and maintain mapping pipelines, including map creation, versioning, and drift detection
Develop and improve localization algorithms, including sensor fusion, odometry, and SLAM
Define accuracy, latency, and reliability requirements for outputs consumed by downstream teams
Build tooling to validate calibration and localization quality at fleet scale
Join the Autonomous Driving team to shape the next generation of automated driving technologies. The role involves supporting the V&V team by ensuring test vehicle software conformity and uptime, collaborating with validation and telematics teams.
Responsibilities
Debug integration issues, perform system analysis and performance evaluation.
Execute the provided standard tests (pre drive test, health checks ...), analyze the results and address the bugs to the internal and external development partners.
Implement and execute the test cases. Analyze test results and report corresponding bugs into tracking system.
Update and maintain SW and HW on dedicated test vehicles to both released and pre-released levels.
Flash ECUs, calibrate sensors, and perform ECU readouts.
Lead manufacturing test strategy, equipment, software, and fixturing for DoorDash’s autonomous delivery robot, Dot, at the final assembly site.
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants.
Responsibilities
Define manufacturing test strategy and coverage for Dot components, subassemblies, and final robot assembly
Design, procure, build, commission, and sustain test equipment, fixtures, electrical test beds, and production tooling
Travel to supplier sites to deploy, audit, and repair test equipment
Work with Integration engineers to specify & deploy automated test, calibration, flashing, and data-collection tools
Work with Quality engineers to establish test requirements and acceptance criteria for contract manufacturers and component suppliers
Requirements
Bachelor's degree in electrical, mechanical, mechatronics, manufacturing engineering, or a related field
Nice to have: testing robotics
Nice to have: autonomous systems
Nice to have: vehicles
Nice to have: safety-critical electromechanical products
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