Furientis

Optical Modeling and Simulation Engineer

Los Angeles, CA · Contract

Sponsorship not specified$40k-$60kDetected 69 days ago

PythonAlgorithmsGitAWSGCPAzureCloud PlatformsMachine LearningComputer VisionLogisticsRoboticsSensorsUnityUnreal Engine

About the role

This is a hybrid role: half ML data engineer, half traditional defense modeling and simulation engineer.
Your top priority is the production, validation, and management of training data the algorithms team trusts.
Behind the pipeline sits the classical M&S work: scene generation, atmospheric propagation, optics, focal-plane response, signal chain, target signatures, and plume/exhaust phenomenology, that gives the imagery and the predictions their physics.

Produce, validate, and manage the synthetic and semi-synthetic image datasets the algorithms team trains and evaluates against, with disciplined provenance, ground truth, and metadata. This is the highest-priority output of the role.
Build and maintain end-to-end seeker performance models spanning scene, atmosphere, optics, FPA, ROIC, ADC, signal chain, and image processing in MWIR and LWIR.
Build and validate signature models for target hardbody and plume/exhaust phenomenology.
Stand up and own the team's real-time, physics-correct engagement simulation pipeline integrating scene, sensor, signal chain, and engagement logic.
profile and optimize end-to-end pipeline throughput on multi-GPU rigs.
Run Monte Carlo trade studies on optical, sensor, and signal-chain parameters (FPA choice, integration time, f-number, FOV, NETD/NEI) and translate results into program-level design decisions.
Validate models against captured imagery from lab characterization, ground tests, and flight tests
Familiarity with Zemax or Code V; enough to consume an optical design directly into your model.

This is a wear-many-hats environment where you must be comfortable "building the airplane in flight" and stepping well outside your comfort zone
A clearance is not required for this position.
Must be a U.S. Person.

B.S. in Optical Engineering, Physics, EE, CS, or related; M.S. or Ph.D. preferred.
Hands-on with agentic coding tools (Claude

America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year.
Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles.
We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies.

Image processing and computer vision, including deep-learning detection and tracking.

a low-cost, mass-producible, multimodal missile seeker that leans on commercial supply chains where they outperform, and vertically integrates wherever possible.
On a modern missile, the seeker is 40 to 60% of unit cost and often drives overly long delivery cycles; accordingly, the seeker team is at the tip of the spear for delivering capability to our customers and value to the taxpayer.
We are a small, deeply technical team that drives capability through ingenuity and bias for action and ships hardware that flies.

This listing is sourced directly from Furientis's careers page and normalized into a canonical job model.