ABOUT THE JOB

Anduril is seeking a Systems Engineer to support perception system development for the Maneuver Dominance, Enabling Technology team. The Maneuver Dominance (MD) Team at Anduril develops aerial robotic systems designed to operate in large coordinated teams in concert with ground maneuver forces.

Perception is what allows an autonomous aircraft to understand the world immediately around it and act on what it finds there. Delivering that is a sensing problem first. The system spans multiple sensor modalities, the apertures and fields of regard those sensors are installed into, the compute that runs them, and the calibration and timing that turn several sensors into one coherent picture of the world. It is developed once, in ET, and inherited by every MD program that needs it.

You will be a key technical leader for that system, and the center of gravity of the role is the sensing suite itself: which sensors are in the baseline and why, what the system is required to detect, at what range, and in what conditions, how that is proven, and what evidence a receiving program gets when the capability transitions onto their aircraft. You will lead this across several concurrent efforts, including in-house sensor development with partner engineering teams elsewhere in Anduril, and new sensing work as the portfolio grows. You will work with Perception Engineering leadership to set the technical objectives for the sensing suite, and own what correct means and how it is demonstrated.

This is a role with depth at its center and reach at its edges. We are hiring for someone who has demonstrated experience making sensing systems work on real vehicles, and whose judgment about where sensing is going carries weight well beyond this team.

WHAT YOU’LL DO

• Drive the perception system architecture and requirements baseline: decompose mission need into detection, range, field of regard, latency, and availability requirements, allocate them across sensing, compute, and algorithms, and keep them traceable through to test evidence
• Own the sensor suite baseline and its configuration across platforms, including which modalities and part numbers are in the baseline for each aircraft variant, where they are installed, and the interfaces to the programs and airframes that carry them
• Set and defend the sensing performance model: detection probability and false alarm rate against target size, reflectivity, range, aspect, illumination, and weather, built up from radiometry and detector performance, and reconciled against measured flight test results
• Drive the verification and validation strategy for perception: verification plans, bench and hardware in the loop coverage, sensor characterization test, flight test objectives, data collection needs, and the evidence package that demonstrates a capability is ready to graduate onto a program aircraft
• Provide the technical authority at design and gate reviews, judging whether perception evidence is sufficient and coverage is complete, and holding the line when it is not
• Lead sensor trades that resolve real forks, framing the decision, defining the criteria, running the analysis, and documenting the result so it survives the people who made it
• Drive modularity and reuse so that perception ports across platforms, including sensor abstraction, interface stability under sensor substitution, and open mission system alignment
• Set the sensing engineering practice that others inherit: how we model performance, how we characterize a sensor, and what constitutes proof, so that each new effort starts from an established method rather than reinventing one
• Own perception in the air: instrument flight tests, be at the aircraft for them, and drive the analysis loop from collected data back into requirements and architecture
• Represent Anduril externally as a technical authority on airborne sensing, including standards and industry bodies, sensor vendors and development partners, and technical engagement with customers

REQUIRED QUALIFICATIONS

• B.S. or M.S. in Electrical Engineering, Optics, Physics, Computer Science, Robotics, Aerospace, or a similar field, or equivalent experience
• 5+ years of engineering experience on electro-optical, LiDAR, RADAR, or comparable sensing systems, including time as the technical owner of a sensing system through to fielded or flight demonstrated performance
• Demonstrated depth in multi-modal sensor architecture and sensor selection, with a working command of the detection physics that bounds each one
• Demonstrated experience owning system architecture and interface definition for a sensing system, including the interfaces to compute, to autonomy consumers, and to the vehicle
• Ability to exercise extremely high ownership over a complex system across design, integration, test, and flight test
• Demonstrated experience specifying and verifying sensing performance quantitatively, including detection and false alarm characterization, range performance analysis, and validation of a model against measured data
• Working command of electro-optical, LiDAR, and/or RADAR system engineering fundamentals: radiometry and link budgets, detector and optics selection, noise and sensitivity metrics such as NETD and NEP, resolution and MTF, and atmospheric transmission and its effect on range
• Demonstrated experience with the systems engineering rigor this role sits on: requirements management, traceability to verification, ICDs, and technical performance measures as a managed baseline
• Outstanding written and verbal communication, including presenting and defending technical positions to program leadership, to engineering peers who disagree, and to audiences outside the company such as standards bodies, development partners, and customers
• Must be eligible to obtain and maintain a US Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with learned perception in a safety relevant system, including evaluation gates, dataset and labeling strategy, and the argument for why a model's measured performance is trustworthy
• Experience with embedded compute and SWaP-C budgeting for airborne perception, including latency budgets end to end from photon to autonomy input
• Experience with environmental qualification of airborne sensors, for example MIL-STD-810 and MIL-STD-461, and with airworthiness or certification evidence for aircraft
• Experience transitioning a capability out of development and into a delivery program or product line, including the evidence handoff
• Experience as a technical lead or principal investigator, in a matrixed or IRAD funded environment
• Experience with requirements management tooling such as Jama, including traceability from requirement through to verification evidence
• Participation in a standards or industry body relevant to airborne sensing or airspace integration, for example RTCA or SAE committee work