Full Stack Engineer for Computer Vision

3 weeks ago

San Jose, United States Industrialinnovationfund Full time

Full Stack Engineer for Computer Vision / AI / ML Application

VIMAAN is looking to hire a talented full stack engineer to join our exceptional engineering team developing the next generation of information systems for the warehouse. You will be responsible for end-to-end delivery of high performance, highly available and scalable distributed software systems integrated with computer vision and machine learning pipelines. You will architect, design and develop backend, application logic, front end and UI. You will work with cross-functional teams dispersed across time zones that includes full stack engineers, computer vision and machine learning engineers, firmware and hardware engineers, mechanical and electrical engineers to define, design, develop, qualify and deliver enterprise grade systems. You will help architect and build our internal libraries, standards and frameworks. You will collaborate extensively with customers and senior management to build and ship key features. You will thrive in this role if you are curious, innovative, relish complexity, and work to make things a little better every single day. We expect you are smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, reach out for the start of a great journey together. Full Stack Engineer Responsibilities

Architect, design, implement, and maintain high-performance, scalable systems on-premise and in the Cloud

Engage with customers, product management, marketing, operations and support engineers to take products from conception to development to production and maintenance

Code in Java, Python, Shell script and/or C++/C

Design and develop scalable software using Java, SpringBoot, Angular, microservices, SQL and NoSQL databases

Deploy code in production, debug and fixe production issues

Present product proposals, architecture, projects, designs, competitive analysis, technology analysis, case studies, escalation post mortem, etc. to executive staff

Execute projects in entirety from feature specification, thru architecture, design, implementation and validation

Document architecture, feature specifications, designs, and bug updates

Create work plan with verifiable milestones and time estimates and deliver projects within estimates

Constructively collaborate with the team during requirements gathering, feature specification, design and code reviews

Participate with QA to develop effective feature test plans, automated test cases, and thorough rigorous testing of the product

Benchmark performance, identify bottlenecks, and troubleshoot and improve system performance

Handle customer support and operations escalations

Full Stack Engineer Qualifications

BS or MS in computer science or related field with 3+ years of relevant experience

Experience developing Enterprise quality software and systems

Strong programming skills in a Linux environment using Java, Python, Shell scripting, C++ and/or C

Strong knowledge of object oriented design principles, architectural patterns, SQL and NoSQL databases, operating systems, and software engineering

Good understanding of on-disk and in-memory data structures and algorithms with emphasis on scalability and performance

Experience with REST APIs and microservice architecture

Ability to collaborate effectively with fellow team members

Strong written and verbal communication skills

How to Stand Out

Experience with Cloud based, on-premise or hybrid SaaS, PaaS or Iaas product development

Experience with Spring Boot, Angular, and other application frameworks

Experience with AWS, Azure, GCP, S3, and other Cloud technologies and infrastructure

Experience with Containers, Docker, and Kubernetes

Experience with Postgres or another relational database and NoSQL databases

Good understanding of systems concepts including multithreading and concurrent systems, clustering and high availability, distributed data storage systems, backup, replication, and disaster recovery, object storage, NAS, NFS

Experience with networking, application orchestration and large scale distributed data management systems

Experience with products in Artificial Intelligence (AI) / Machine Learning (ML), robotics, and/or warehouse management systems (WMS)

Experience with message queuing systems and workflow management systems

Self motivated and self managed

You are someone that others enjoy working with due to your positive attitude and technical competence

Pragmatic approach to solving problems and collaboration

Open-minded, passionate, but not ideological

Biased towards automation and ensuring “it just works”

Team-first attitude motivated by helping team members succeed

Benefits

Excellent health insurance benefits Stock options 401(K) Company sponsored lunch Friday socials

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