Anduril Industries Senior Software Systems Engineer driving systems engineering strategies and testing for Tactical Recon & Strike products. Lead integration tests and coordinate cross-functional test events.
Responsibilities
Define systems engineering strategies in the Tactical Recon & Strike Division to drive requirements and verification for core Anduril Products Altius, Anvil, Bolt, and Ghost.
Design, develop, and implement automated system-level integration tests on SITL, HITL and hybrid testbeds coupled to simulation environments, followed by flight testing to ensure robust validation of system functionality and performance.
Define and devise testing strategies using appropriate testing modalities for system and software requirements.
Autonomously execute on broad and/or ambiguous requirements from internal engineering, program office, and third-party corporate partners to own successful delivery of outcomes on multiple programs simultaneously.
Coordinate and execute frequent test events involving various levels of software and hardware, from in-lab full-software simulations to full hardware-in-the-loop demonstrations at test sites.
Define a strategy to comply with appropriate industry standards, e.g., NATO UAV and MIL-STD-882E.
Demonstrate high ownership on all pieces of work; become a trusted partner to Anduril’s software engineers.
Ensure that the organization’s technical roadmap is well understood and that programs and staffing are aligned with the roadmap.
Manage, unblock, and accelerate cross-team projects spanning multiple functional teams and cross-functional initiatives.
Identify and resolve systemic execution issues across the team or group that require broader initiatives to resolve.
Identify, resolve, and escalate key cross team dependencies.
Support leads with quarterly and ongoing staffing plans across the organization, particularly where difficult prioritization conflicts exist.
Qualification
Degree in EngineeringExperience in safety-critical industrySkilled in Statistics and AI/MLExperience with sensor modelingStrong technical
Required
5+ years experience with programming languages, such as Python, C++, or Rust, for analysis and simulation, while also being familiar with modern software development practices and designs, unit testing, integration test, and release processes
Degree in Engineering, Aerospace Engineering, Computer Science, Robotics, or a related field
Experience in safety-critical industry, particularly with safety-critical software development standards, software safety fault/hazard analysis, and requirements-driven software verification and validation strategies
Experience with cloud infrastructure platforms (e.g., AWS, Azure, Google Cloud) for software deployment and scalability.
Demonstrated proficiency in the application of engineering standards into engineering processes or requirements, with the ability to take ambiguous, high-level problems and translate them into actionable engineering processes, detailed requirements, and comprehensive verification and validation (V&V) plans to ensure robust and reliable system performance.
Experience writing testable system-level and software-level requirements
Proficiency in large-scale data modeling, data analysis, and visualization, including experience with tools such as Palantir Foundry, Tableau, AFSIM or similar platforms.
Skilled in Statistics and AI/ML
Excellent communication and presentation skills
Must be willing to travel for test field events up to 25%
Eligible to obtain and maintain an active U.S. security clearance
Preferred
Experience with sensor modeling, simulation, and analysis to support system design and performance evaluation.
Experience in building programs for software deliverables from ground up
Ability to work within organizations with minimal structure and with minimal direction
Experience in rolling out potentially disruptive organizational process changes
Experience with creating communication plans for various levels of stakeholders
Excellent written and verbal communication skills.
Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions