Lead Computer Vision Systems Engineer

DevPocket Inc.; Tenafly (NJ); On-site; USD 171,000 - 209,000; Full time

Job summary

DevPocket LLC in Tenafly, NJ, invites a senior software engineer to lead production-grade computer vision and image recognition systems. You will translate product requirements into scalable architectures and guide ingestion, processing, and model serving in distributed environments.

This on-site role reports to the Chief Technology Officer and requires strong C++, Python, and docker/kubernetes experience, plus a track record of building reliable, observable systems.

Qualifications

• Bachelor's degree in CS/CE/OE/EE plus 60 months of software experience in CV/IR.
• Master's degree plus 24 months of CV/IR experience is acceptable.
• Employer accepts any suitable combination of education, training, or experience.

Responsibilities

• Define end-to-end software architecture for image recognition systems.
• Design, implement, and review CV pipelines for detection, segmentation, and tracking.
• Integrate ingestion, compute, and model-serving components; optimize CPU/GPU performance.
• Drive architecture governance; establish automated testing and CI/CD standards.
• Maintain technical roadmap inputs and provide executive-ready reporting.

Skills

CV software design

Computer vision

C++ production

Python production

Docker/Kubernetes

Observability & reliability

Education

Bachelor's degree in CS/CE/OE/EE or related

Master's degree in CS/CE/OE/EE or related

Tools

Docker

Kubernetes

Python 3.x

Job description

Worksite: 150 Hickory Ave, Tenafly, NJ 07670

Reports to: Chief Technology Officer

Supervisory responsibilities: None

Travel: None

Salary: $189,600 per year

Job Duties

Design, implement, and lead delivery of production-grade computer vision and image recognition software systems, including data ingestion, image processing pipelines, machine learning model serving, and deployment in distributed environments. Translate product requirements into technical specifications; build, test, deploy, monitor, and optimize services to meet scalability, reliability, security, and performance targets. Specific responsibilities include:

• System Architecture and Requirements (30%): Define end-to-end software architecture for image recognition systems; develop functional requirements, interface specifications, and non-functional requirements including scalability, reliability, security, and observability; document architecture decisions and review designs with cross-functional stakeholders.
• Computer Vision Pipeline Engineering (25%): Design, implement, and review computer vision pipelines for detection, segmentation, and tracking; implement image preprocessing and postprocessing logic; define test datasets and acceptance metrics; test, benchmark, and tune pipeline performance under production constraints including noise, distortions, latency, throughput, and accuracy.
• Integration, Performance, and Reliability (20%): Integrate ingestion services, compute components, model serving endpoints, and downstream applications; conduct performance profiling and optimization across CPU and GPU workloads; implement monitoring, alerting, capacity planning, and fault tolerance; troubleshoot incidents, perform root cause analysis, and deploy corrective fixes.
• Technical Leadership and Engineering Standards (15%): Drive architecture and engineering governance through design and code reviews; establish and maintain standards for automated testing, continuous integration, deployment quality gates, code review workflows, and static analysis; develop and maintain reusable libraries and documentation; provide technical guidance and mentorship to team members on an as‑needed basis. Role does not include personnel management and has no direct reports.
• Delivery Governance and Stakeholder Reporting (10%): Maintain technical roadmap inputs, milestone plans, and risk registers; coordinate delivery across engineering, data, and operations teams; communicate status, risks, and decisions through technical documentation and executive‑ready reporting.

Bachelor's degree in Computer Science, Computer Engineering, Optical Engineering, Electrical Engineering, or related field, plus 60 months of experience as a software developer or software engineer in computer vision or image recognition systems.

Alternative Requirements:

Master's degree in Computer Science, Computer Engineering, Optical Engineering, Electrical Engineering, or related field, plus 24 months of experience as a software developer or software engineer in computer vision or image recognition systems.

Employer will accept any suitable combination of education, training, or experience.

Special Skills Required

• — Experience designing end-to-end software architectures for production computer vision or image recognition systems.
• — Experience building and operating production image processing and machine learning inference pipelines with performance targets for latency, throughput, and accuracy.
• — Experience developing production software in C++ including modern standards and maintaining existing codebases.
• — Experience developing production services or libraries in Python 3.x.
• — Experience deploying and scaling containerized services using Docker and Kubernetes.
• — Experience with distributed deployments including observability practices, reliability practices, and performance troubleshooting.

Devpocket LLC is an Equal Opportunity Employer.