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Senior Embedded Computer Vision Engineer
Fresh Consulting. Develop state-of-the-art, performance-critical computer vision systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing high-performance computer vision systems with a strong focus on optimizing C++ code for low-latency applications. Proficient in performance analysis, memory optimization, and integrating specialized hardware accelerators.
Highest-signal resume keywords
Computer VisionC++ DevelopmentPerformance OptimizationReal-Time Data PipelinesComputer Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer VisionC++ DevelopmentPerformance OptimizationMemory OptimizationLatency AnalysisParallelizationBatch-Processing PipelinesLow-Power Embedded SystemsAlgorithm Performance StandardsCritical-Path Optimization
Soft Skills
Problem-SolvingCollaborationKnowledge Sharing
Tools & Technologies
Real-Time Operating SystemsLinuxJob SchedulingProfiling ToolsTesting/Verification Tools
Certifications & Qualifications
MSc in Computer SciencePhD in Computer Vision
Industry Keywords
Image ProcessingHigh-Performance ApplicationsStreaming ApplicationsVision-Language ModelsEmbedded Systems
Tech Stack
Tools & technologiesLinuxC++
About the role
Key responsibilities & impact- Develop state-of-the-art, performance-critical computer vision systems
- Own and drive highly visible performance metrics, including latency, memory, bandwidth, and power
- Analyze and optimize a C++ codebase collaboratively in a fast-paced team
- Help establish algorithm performance standards
- Develop and promote best practices for performance, maintainability, and correctness
- Provide guidance throughout the software development lifecycle and share knowledge
- Help drive the integration and development of tooling and automation for profiling, testing/verification, and monitoring
- Help shape the computing platforms for next-generation products
Requirements
What you’ll need- 5+ years of professional experience in computer vision and image processing
- Professional experience developing high-performance, low-latency applications using modern C++
- Experience with low-latency, high-bandwidth real-time data pipelines, batch-processing pipelines, low-power embedded systems, and integrating specialized hardware accelerators
- In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization
- Strong computer science fundamentals, problem-solving skills, and the ability to write high-quality code
- Experience in code and memory optimization, performance analysis, abstraction and modularity, critical-path optimization, and performance tuning
- Preferred: Experience in high-speed and per-frame camera frame quality evaluation
- Preferred: Experience with real-time operating systems, Linux, and job scheduling
- Preferred: Experience with streaming applications using vision-language models (VLMs)
- MSc or PhD in Computer Science, Computer Vision, Robotics, or a related field preferred
- Must work onsite in the US and work US Eastern Time (ET) hours
Benefits
Comp & perks- unlimited PTO
- 401(k) match
- a bonus percentage tied to role
- fully reimbursed travel and expenses
- unlimited e-learning through Coursera