Senior Staff Engineer, Systems Test (R3896) at Shield AI

Boston, Massachusetts, United States

Shield AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Aerospace, Defense, Artificial IntelligenceIndustries

Requirements

  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
  • Proficiency in Python
  • Experience in robotics, small UAS, USV, UUV, or related hands-on engineering projects
  • Strong analytical, problem-solving, and debugging skills
  • Passionate about intelligent systems
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware, and mechanical engineering teams
  • Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment
  • The ability to obtain and maintain a SECRET Clearance (US citizenship required)
  • Preferred qualifications
  • Experience building unmanned systems, such as quadrotor drones or similar
  • Proficiency in Python and C++
  • FIRST Robotics experience
  • Software management tools (Git, AzureDevOps/Jira, Artifactory)
  • Experience in the aerospace or defense industry

Responsibilities

  • Work with Hivemind and Hivemind Solutions engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests
  • Support on-site flight testing that involves system configuration, running aircraft software, and data post-analysis
  • Hands-on debugging during on-ground and in-flight test and/or sea trial campaigns
  • Write Python code to test complex Hivemind + aircraft SW and HW systems (with SW emphasis)
  • Create SW based tools to improve flight testing and troubleshooting (Python and/or C++)
  • Become a subject-matter-expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems
  • Run simulated flight tests to validate Hivemind + platform subsystems
  • Contribute to software utilities and automated test suites for Hardware-In-The-Loop infrastructure
  • Contribute to and execute test plans to validate Hivemind SW and HW systems
  • Create test team data Dashboards to provide high-level results visibility and data analysis
  • Review artifacts related to simulated and real flight test data for any anomalous behavior
  • Identify, analyze, and document software defects, issues, and inconsistencies in software behavior
  • Drive continuous improvement in testing methodologies, tools, and processes

Skills

Key technologies and capabilities for this role

PythonSystems TestingIntegration TestingHardware TestingSoftware TestingDebuggingTest PlanningTest AutomationData AnalysisFlight TestingSimulation Testing

Questions & Answers

Common questions about this position

What experience level is required for this Senior Staff Engineer role?

The role typically requires a minimum of 10 years of related experience with a Bachelor’s degree, 9 years with a Master’s degree, or 7 years with a PhD.

What programming languages will I use in this position?

You will write Python code to test complex systems and create software-based tools using Python and/or C++.

Is this a remote position or does it require on-site work?

The role involves supporting on-site flight testing, hands-on debugging during on-ground and in-flight tests, and working with Hardware-In-The-Loop systems, indicating on-site requirements.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of work environment can I expect at Shield AI?

The work environment is hands-on and fast-paced, involving planning, documentation, communication, coordination, manual and scripted testing, debugging, and system verification for flight test campaigns.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters
2015Year Founded
$772.8MTotal Funding
DEBTCompany Stage
AI & Machine Learning, DefenseIndustries
501-1,000Employees

Benefits

Medical Insurance Coverage
Long Term Disability Insurance
Health Care FSA and Dependent Care FSA
Employee Assistance Program
Subsidized Gym Membership
Pet Insurance
Competitive Compensation
Retirement Services
Life Insurance
Parental Leave
Bereavement Support
Flexible Work Hours
PTO
Paid Holidays
Commuter Benefits
Relaxed Dress Code
Yearly Swag Items
Unlimited Snacks
Bottomless Beverages
Annual Celebrations
Work From Home Benefits
Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.
Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.
Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.
Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.
Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.
Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.
Significant investment in robotics indicates a robust market for Shield AI's offerings.

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