Embedded Software Engineer (ISP), See & Spray

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Embedded Software Engineer (ISP), See & Spray in the United States.

We are seeking a highly skilled Embedded Software Engineer to develop cutting-edge robotics software for computer vision-enabled agricultural systems. In this role, you will work on high-performance image signal processing, embedded C/C++ development, and real-time optimization for robotics computing platforms. You will collaborate with cross-functional teams to solve complex technical challenges, enhance sensor performance, and implement algorithms that drive precision and efficiency. This position offers the opportunity to contribute to innovative AI and computer vision applications in a dynamic, fast-paced environment that prioritizes technical excellence and practical impact.

Accountabilities

• Design, develop, enhance, and debug embedded software, image processing stacks, and device drivers for robotics applications in C/C++ and Python.
• Implement and optimize image signal processing algorithms for See & Spray systems, including demosaicing, color correction, tonemapping, and video pipelines.
• Collaborate with cross-functional engineering teams to address complex system-level challenges.
• Optimize algorithms and processing pipelines for real-time performance on edge and cloud platforms.
• Quantify, measure, and improve software quality under diverse environmental and scene conditions.
• Contribute to continuous integration, testing, and deployment of embedded software systems.
• Stay current with emerging computer vision, machine learning, and robotics technologies to inform development practices.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.
• 3–5 years of experience in embedded software development using C/C++ and Python, including CUDA programming.
• Strong experience with Linux environments and real-time software optimization.
• Proven ability to develop and tune algorithms for image signal processing applications.
• Excellent attention to detail and familiarity with testing and continuous integration practices.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative team environment.
• Preferred: experience with Linux kernel device drivers, computer vision models (CNN), V4L2, OpenCV, PyTorch or TensorFlow, and prior work in machine learning or ISP projects.

• Competitive US-based salary range: $125,000 – $218,000 annually.
• Eligibility for bonus programs and comprehensive benefits.
• Remote work opportunities within the United States.
• Professional development, mentorship, and career growth in an innovative environment.
• Inclusive and diverse workplace promoting collaboration and learning.
• Paid time off, wellness programs, and flexible work arrangements.
• Access to cutting-edge AI, computer vision, and robotics projects with meaningful real-world impact.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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