Senior Embedded Computer Vision Engineer

Accountabilities • Design, develop, and optimize advanced computer vision and image processing systems with demanding performance requirements.

• Own and improve critical performance metrics, including processing latency, memory consumption, bandwidth utilization, and power efficiency.

• Analyze, optimize, and maintain modern C++ codebases, identifying computational bottlenecks and improving execution efficiency.

• Develop and optimize low-latency, high-bandwidth real-time data pipelines and batch-processing workflows.

• Contribute to the design and implementation of embedded systems that integrate specialized hardware accelerators.

• Establish and promote algorithm performance standards and engineering best practices focused on performance, maintainability, and software correctness.

• Provide technical guidance throughout the software development lifecycle, supporting code quality, knowledge sharing, and effective engineering practices.

• Drive the adoption and development of tools and automation for profiling, testing, verification, and performance monitoring.

• Analyze critical execution paths and optimize code, memory usage, concurrency, and parallel processing.

• Collaborate with cross-functional engineering teams to shape the computing platforms and technical foundations of next-generation products.

Requirements:

• 5+ years of professional experience in computer vision and image processing.

• Strong professional experience developing high-performance, low-latency applications using modern C++.

• Experience designing and optimizing real-time, high-bandwidth data pipelines, batch-processing systems, and low-power embedded applications.

• Practical experience integrating specialized hardware accelerators into embedded computing environments.

• In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization.

• Strong computer science fundamentals, analytical thinking, and problem-solving abilities, with a commitment to writing high-quality, maintainable code.

• Demonstrated expertise in code and memory optimization, performance profiling, abstraction and modularity, critical-path analysis, and performance tuning.

• Ability to collaborate effectively in a fast-paced engineering environment and communicate technical concepts clearly.

• Preferred qualifications include:

• Experience with high-speed camera systems and per-frame image quality evaluation.

• Familiarity with real-time operating systems, Linux environments, and job scheduling.

• Experience developing streaming applications that incorporate vision-language models (VLMs).

• A Master's degree or PhD in Computer Science, Computer Vision, Robotics, or a related technical discipline.

Benefits:

• Annual salary range of $155,000–$180,000 USD, with final compensation determined by location, experience, technical knowledge, and relevant skills.

• Full-time, direct-hire employment.

• Remote work arrangement, with the requirement to work during U.S. Eastern Time business hours and be available to work onsite in the United States.

• Unlimited paid time off.

• 401(k) plan with employer matching contributions.

• Bonus opportunity tied to the role.

• Fully reimbursed business travel and related expenses.

• Unlimited access to e-learning resources through Coursera.

• Opportunity to work on advanced computer vision systems and next-generation embedded computing platforms.

• Collaborative engineering environment focused on technical excellence, innovation, and continuous learning.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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