Full Stack Software Engineer - Systems Integration at HRL Laboratories

Lost Hills, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

3+ years of professional experience in full stack development
Proficiency in languages such as Python, JavaScript, C++, or Java
Hands-on experience with containerization and orchestration tools like Docker and Kubernetes
Experience deploying and managing applications in AWS, Azure, or GCP
Strong understanding of software integration methodologies and system architecture
Demonstrated ability to write and maintain developer documentation
Strong communication and team collaboration skills in agile environments
Ability to mentor junior developers and champion code quality
Hands-on experience with modern frameworks (React, Node.js, Django, etc.) is a plus
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
US Citizenship
With additional skills, development will primarily be focused on security and vulnerability tools, from firmware to networks
Expertise in machine learning and artificial intelligence is highly advantageous (e.g., developing and training models using TensorFlow, PyTorch, or Scikit-learn; familiarity with deep learning architectures such as CNNs, RNNs, and Transformers; knowledge of data preprocessing, feature engineering, and supervised/unsupervised learning techniques)
Familiarity with reverse engineering, binary analysis, and software vulnerability identification is a bonus
Experience using tools like IDA Pro, Ghidra, or Binary Ninja is a bonus
Knowledge of secure coding practices and threat modeling is a bonus

Responsibilities

Design, develop, and implement software modules as part of a larger integrated system
Integrate system components into cohesive, high-performing platforms
Manage repositories and CI/CD workflows using GitHub and GitLab
Write clean, efficient, and maintainable code across the stack (UI, server-side, database, APIs)
Develop unit, integration, and system tests using frameworks like PyTest, JUnit, or Selenium
Create and maintain technical documentation, including README files, API references, build instructions, and troubleshooting guides
Collaborate with cross-functional teams to ensure seamless system integration and interoperability
Participate in design reviews and technical architecture discussions
Troubleshoot, debug, and optimize system performance
Contribute to the evolution of system security and reliability

Skills

Python

JavaScript

C++

Java

Docker

Kubernetes

AWS

Azure

GCP

GitHub

GitLab

PyTest

JUnit

Selenium

React

Node.js

Django

HRL Laboratories

Develops cognitive systems for human-machine collaboration

About HRL Laboratories

HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.

Malibu, CaliforniaHeadquarters

1997Year Founded

$1.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Gym Membership

Paid Vacation

Risks

Competition in quantum technologies could challenge HRL's market position.

Rapid AI advancements by competitors may outpace HRL's cognitive systems projects.

Reliance on government contracts poses risks if funding priorities change.

Differentiation

HRL Laboratories excels in cognitive systems enhancing human-machine collaboration.

The company is a leader in AI-driven defense projects and autonomous systems.

HRL's MEMES project focuses on advanced memory enhancement technologies.

Upsides

Growing interest in neuromorphic computing aligns with HRL's cognitive systems focus.

Increased funding for AI-driven defense projects benefits HRL's autonomous systems work.

Energy-efficient data center trends support HRL's cooling system innovations.

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