Software Sensor Engineer, ISEE
Autonomous driving solutions
Job no longer available
Autonomous driving solutions
21-100 employees
Job no longer available
21-100 employees
Company mission
To create a future where autonomous machines can thrive alongside humans, seamlessly and safely integrating into any environment.
Role
Who you are
- Degree in Computer Science, Electrical Engineering, Engineering, Robotics or related field
- Experience with Automotive CAN, Ethernet, PTP Time Synchronization, Python, Data collection, and Data Analysis
- 3 years of Automotive Component Development Experience
- Strong knowledge and experience in: signal processing, image processing, sensor fusion, etc
- Passionate about self-driving vehicles and real-world robotic solutions
- Strong presentation and communication skills
Desirable
- 3+ yrs industrial experience in deploying robust sensor suites to robots to enable autonomy
- Robotics/autonomous vehicle experience is a plus
- People Leadership Experience
What the job involves
- Own the development and integration of autonomous driving sensors into the ISEE system. Sensors include LIDAR, RADAR, Cameras, SWIR, Thermal, Ultrasonic, and others
- Lead the sensor landscape benchmarking for autonomous driving sensors. Travel to trade shows, read research papers, and provide summaries for cross functional team review
- Analyze the Operational Domain for ISEE’s products, perform trade off analysis of sensor performance, and provide recommendations for sensors to the cross functional team
- Develop the Supplier Component Development Process for sensors to ensure positive supplier collaboration that meets ISEE company goals
- Develop technical requirements, specifications and work to gain alignment with stakeholders and suppliers
- Lead supplier collaboration through multiple phases of the component development process; Request for Information, Request for Quote, Statement of Work, Delivery Schedules, and PPAP
- Perform stakeholder reviews for key milestones
- Collaborate closely with the perception software team to ensure alignment on sensor performance characteristics, sensor locations, orientations, field of views, and other key items
- Ensure successful sensor integration into the ISEE system by working closely with the Mechanical, Electrical, Software, Networking, and Systems Engineering teams
- Perform multimodal sensor calibration including but not limited to LiDARs, Cameras & RaDARs
- Lead sensor projects through all phases from initial concept evaluation, selection, component level testing, integration, vehicle build, testing, and customer field follow
Our take
Autonomous vehicles are big business at the moment, with companies such as Tesla, Google owned Waymo and Argo all vying to create the technologies that will transform the way we travel. ISEE finds its place in this thriving sector by specialising in autonomous trucks and using AI and deep learning technologies to create self-driving trucks that can learn and use the machine equivalent of common sense.
Speed, efficiency and safety are essential within the logistics and shipping industry. Rather than trying to program a reaction to an infinite number of possible events, Isee is creating trucks that will learn and react autonomously, designing a computer system that drives like a human.
Following very strong revenue growth in 2022, ISEE has closed a Series B funding round which is being used to hire additional talent and further the development of its self-driving yard trucks. As the first, and only, company to achieve fully-autonomous operations there's certainly an exciting future ahead for ISEE.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2022
$40m
SERIES B
Nov 2019
$15m
SERIES A
Total funding: $55m
Company benefits
- Healthcare and Basics
- Work/Life Balance and PTO
- Supportive Team
- Professional Growth
- Flexible Work Environment
- Forum for Open Discussions
Company HQ
Central Square, Cambridge, MA
Leadership
Yibiao Zhao
(CEO)Yibiao completed their PhD at UCLA studying computer vision and his Postdoc at MIT studying cognitive robots. They are a pioneer of engineering common sense for visual understanding and cognitive robots.
Debbie Yu
(Board Member)Prior to Isee, Debbie co-founded environmental data solutions company, Spatial Intelligence. Their experience is in investment having been an Angel investor and advisor prior.
Chris Baker
(Chief Scientist)Chris completed their PhD at MIT in cognitive science, going on to complete their Postdoc and following research within the department.
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