TurbineOne
Applied Research - Software Engineering
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 13 days ago · Found 6h ago
First listed 13 days ago and still open.
Salary
Not stated
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the listing expects you to be based in United States.
What the employer says
- Source listing states candidate location: "Remote"
- Listing states: "Must be eligible to obtain and maintain a clearance with the U.S. government."
What Nomaders makes of it
- Confirm with the employer before assuming you can work from another country
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Senior/Principal, Applied Research Software Engineer
Remote
ABOUT THE JOB
Company Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists.
Job Title: Senior/Principal, Applied Research Software Engineer
Reporting directly to: The Director of Applied Research
Location: Geographically flexible for home-office
The Applied Research team identifies promising research and turns it into effective, edge-focused capabilities that people can use without a background in machine learning. This is not a pure research organization: success means shipping timely, reliable product features around rapidly evolving models and algorithms.
Primary Responsibilities
Turn state-of-the-art research implementations into product features that deliver useful machine learning capabilities to operators at the edge.
Scope and own initial product integrations from end to end: evaluate a research implementation, define an incremental path to delivery, adapt and productionize the core capability, build the required APIs and data flows, and update the product UI so users can access it.
Build in-product integrations into the Frontline Perception System and other TurbineOne artifacts, working across Python model services, Golang application services, and the Vue 3 client as the feature requires.
Collaborate with Research, Product, Design, Mission, Field Engineering, and external technical partners to understand the operational problem and match it to a set of possible solutions based on state-of-the-art algorithms and machine learning processes.
Develop reliable software around imperfect and rapidly evolving models, including tests, observability, failure handling, and clear technical documentation. Validate solutions work against real customer data.
Design for disconnected, resource-constrained environments by considering latency, compute, memory, bandwidth, hardware architecture, and model packaging from the beginning.
Contribute actively to technical design and code reviews, help teammates navigate unfamiliar parts of the stack, and improve the shared frameworks that make future integrations faster.
Desired Experience
8+ years working in software engineering, product engineering, or production machine learning positions.
Demonstrable experience taking machine learning, robotics, computer vision, or other research-grade software from prototype to production.
Strong Python experience and the ability to work effectively in unfamiliar parts of a full-stack system. Experience with Golang, TypeScript, or a reactive framework such as Vue or React is valuable.
Experience with machine learning runtimes and frameworks such as PyTorch, ONNX Runtime, or TensorRT, including containerized deployment on GPU-enabled systems.
Experience designing and evolving APIs using technologies such as gRPC, Protocol Buffers, GraphQL, or REST.
A track record of working through ambiguous technical and product domains, breaking broad problems into incremental deliverables, and defining what to implement before diving into implementation.
Excellent engineering judgment, with an emphasis on simple designs, readable code, thoughtful testing, and understanding behavior beyond the happy path.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at TurbineOne, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 6h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
Typically $140k to $245k per year · You'll be taken to the employer's careers page.