Sr Camera Systems Engineer, Platform
Blue River Technology
| Company | Blue River Technology |
| Category | Engineering |
| Location | Santa Clara |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 10 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.
Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.
Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on the planet!
Blue River Technology is based in Santa Clara, CA.
Summary
We are seeking a senior Camera Systems Engineer on the Camera Systems Team within our platform organization. You will deliver the imaging foundation for the features that enable automation and autonomy in John Deere machinery. You will research and characterize image sensors, develop and optimize image signal-processing pipelines, and shepherd camera deployments through bring-up, validation, and production for hardware operating in harsh, challenging environments. You will engineer camera solutions that serve the needs of a broad and diverse fleet of autonomy efforts, enabling computer vision, machine learning, and perception capabilities, while developing camera architectures that scale across multiple programs and autonomy levels.
Employment Type : Full-Time
Work Location : Santa Clara, CA (expect 3 days/wk in the office)
Visa sponsorship is possible for this position.
Job Responsibilities
A combination, not necessarily all-inclusive, of the following:
Drive system-level specifications for camera systems from perception prototypes to production.
Select and evaluate camera components (sensors, lenses) and manage requirements.
Validate camera module manufacturing decisions, including active alignment, calibration, and end-of-line testing.
Lead camera bring-up, sensor tuning, and characterization for perception systems.
Design and optimize ISP pipelines for machine vision on NVIDIA embedded platforms.
Develop image-processing algorithms in C++ and CUDA for real-time performance.
Evaluating using image-quality metrics and correlating them with downstream perception performance.
Cross-collaboration to facilitate camera perception architectures for autonomy.
Provide technical leadership across multi-disciplinary engineering teams.
Required Experience and Skills
M.Sc. in Electrical Engineering, Optical Engineering, Computer Vision, or a related field.
7+ years in camera systems engineering for perception or autonomous systems.
End-to-end camera development from requirements through manufacturing and production.
Expert-level ISP development, sensor tuning, and calibration.
C++ and CUDA programming for performance-critical image processing.
Experience with NVIDIA platforms (Jetson, Drive), including TensorRT.
Camera characterization using industry-standard methodologies.
Camera manufacturing expertise: active alignment, calibration procedures, end-of-line test.
Understanding of agentic AI best practices and autonomous decision-making fram
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