Software Developer Architect

MarineTraffic
Coronado, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 24K

Job location

Coronado, United States of America

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Computer Vision
Nvidia CUDA
Continuous Delivery
Continuous Integration
Data Integration
Software Design Patterns
Linux kernel
Machine Learning
OAuth
Open Source Technology
Software Architecture
Rapid Prototyping Process
Security Assertion Markup Language (SAML)
Software Engineering
Software Requirements Analysis
Software Systems
Subsystems
Systems Architecture
Systems Integration
Transport Layer Security
Backend
SC Clearance
Kubernetes
Information Technology
Machine Learning Operations
Api Gateway
Software Defined Radio
Devsecops
Software Library

Job description

  • Assessing the capability of cutting-edge AI powered software solutions to inform the integration of next generation sensors and related technologies in support of NSW requirements.
  • Reviewing applied research for NSW requirements.
  • Reviewing scientific study and experimentation directed toward advancing the state of research and subsystem requirements.
  • Reviewing sensor test and evaluation development.
  • Analyzing and evaluating concepts, technologies, systems and subsystems.
  • Assisting in the development of operational concepts and tactics with the end goal being the application of results to developing new or improving UxS and sensor capabilities., + Designs and develops software requirements for multiple Artificial Intelligence based products including the software architectures, APIs, frameworks, and libraries (Does not work the actual coding of software requirements).
  • Assess the functionality of front end and backend of software releases, components, and tooling to inform the development process.
  • Maintains and guides the development of common libraries and tools used by multiple teams.
  • Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities.
  • Provides technical guidance to data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions.
  • Documents requirements and specifications and reviews documentation provided by other teams and vendors.
  • Assist in optimizing software designs and architectures to deliver desired performance requirements and recommend tooling and methodologies to monitor execution and capture performance metrics.
  • Stays informed on latest AI system and software architectures and trends from design patterns to DevSecOps and systems architecture patterns.

Requirements

  • Working knowledge with a set of specific technologies such as:
  • Master's Degree in an information technology- related field (computer science, software engineering, etc.) or 10+ years of software development experience. Less experience is acceptable with very strong relevant skills shown.
  • Secret Clearance Required
  • Proficient technical writing skills
  • Technical experience in developing, modifying, or integrating software (including models, algorithms, behaviors) at the enterprise level.
  • Technical experience in software delivery with demonstrated ability to integrate with commercial and open-source Continuous Integration/Continuous Deployment and/or Machine Learning Operations (MLOps) platforms.
  • Technical experience working on DevSecOps Pipelines.
  • Technical experience with architecting and delivering successful complex software projects involving multiple modules, Application Programming Interfaces (API), data integration and algorithm stacks.
  • Working knowledge of Agile Software Development
  • Hands on experience in developing a Platform as a Service (PaaS)
  • Kubernetes
  • Computer Vision (especially open-source libraries)
  • Linux Kernel drivers
  • Software Defined Radio (SDR)
  • API gateways
  • Machine Learning/Artificial Intelligence (Client/AI) training pipelines
  • C, C++
  • Rust
  • Assembler (ARM, X86)
  • Java
  • CUDA
  • Developing compilers
  • OAuth/ or SAML
  • TLS/SSL

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