Embedded Software Test Engineer | Airborne Software
Beta TechnologiesSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Aerospace, Defense, Autonomous SystemsIndustries
Requirements
- Excellent proficiency in testing complex integrated software systems, preferably for robotics or vehicles, with demonstrated ability to design and execute elaborate test cases
- Excellent analytical skills and ability to synthesize complex data into conclusions and actionable plans, with demonstrated ability in coding analyzers to automate evaluation of test data using Python and common industry tools
- Demonstrated expertise and experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing
- Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems
- Strong mathematical background, capable of understanding software models describing aircraft physics and flight control algorithms
- Solid technical expertise in software development, especially in C++ and Python, including tools like Docker, CI/CD pipelines, and Artifactory
- Great understanding of system architecture, requirement derivation, and test planning across the Systems Vee model
- Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures
- Demonstrated track record of assuming ownership over development processes and features and delivering
Responsibilities
- Generate detailed mission test scenarios that mimic real-world conditions to validate system performance
- Lead the development and enhancement of system testing processes and related infrastructure, promoting efficient and innovative testing processes to achieve operational validation and quick feedback loops (e.g., mission simulation scenarios exercising autonomy software with hardware-in-the-loop, continuous testing pipelines that verify subsystems before triggering system tests, suite of automated test cases to perform full system testing with vehicles-in-the-loop)
- Design and implement automated integration tests across all software systems to ensure seamless functionality and high performance
- Qualify subsystem integrations to guarantee robustness prior to comprehensive system testing
- Conduct and manage system verification and validation events, culminating in verified flight readiness
- Troubleshoot and resolve complex issues that arise during the testing phases to maintain project timelines and quality standards
- Write test analyzers in Python to report and benchmark performance and qualification metrics of the system
- Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the required qualifications for the Staff Engineer, Software Test role?
Candidates need excellent proficiency in testing complex integrated software systems, preferably for robotics or vehicles, with demonstrated ability to design and execute elaborate test cases, plus excellent analytical skills and ability to synthesize complex data into conclusions and actionable plans, including coding analyzers to automate evaluation of test data using Python.
What is the salary or compensation for this position?
This information is not specified in the job description.
Is this a remote position, or is there a location requirement?
This information is not specified in the job description.
What does the company culture or work environment look like at Shield AI?
This information is not specified in the job description.
What makes a strong candidate for this Software Test Engineer role?
A strong candidate will have proficiency in testing complex integrated software systems for robotics or vehicles, experience designing elaborate test cases, strong analytical skills for synthesizing data into actionable plans, and demonstrated ability in coding Python analyzers for test data evaluation.
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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