Our rebellion:
Rebellion defense builds mission-focused ai products for the defense and security of the united states, the united kingdom, and our alliesWe are a well capitalized, venture-backed technology company that creates software which transforms data into decision advantage.
Our people are passionate about creating a company where technologists empower our military and civil servants to solve some of the hardest problems in governmentRebellion defense is driven by our mission — but a set of core values binds us together: we hire by them, operate through them, and uphold them in every decision we make for ourselves and for our customers.
Your rebel team
Engineering:
The engineering team is focused on building products that apply artificial intelligence to analyze, secure, and deliver critical data to deter threats and drive mission success for our defense and national security customers.
How you’ll make a difference in this role:
As a senior software engineer on the autonomy team focused on sensor fusion & tracking and radar, you will design, develop, and test software systems and interact with swes across the organization, and particularly in autonomy, to tackle advanced ai challenges in sensor fusion and trackingYour work will be focused on pulling in data from novel and exquisite sensor modalities and fusing those modalities into coherent tracks to aid in understandability for machines and humans downstreamFor this position, we are looking for a software engineer with the ability to master the problem of object tracking using both conventional and cutting-edge algorithms and techniques to innovate in the machine learning and tracking spaceIn addition, you will design, develop, and test software systems related to radar/ew systemsIn particular, you will apply ai/ml to new innovations in the ew/radar spaceYou will be working on radar technologies and similar modalities such as software-defined radios to push both the state of the art with ai/ml and conventional methodsYou will contribute to the autonomy team to develop novel solutions to ew challenges through the design and experimentation of ew systems and methods.
What your mission is:
Come alongside high-energy engineering teams to enable the adoption of best practices to enable downstream systems and subsystems to interact with refined sensor data at a higher level to make predictions.
You will work with real-time machine learning models at the edge, focusing on various remote sensing modalities such as eo, lidar, and radar.
You may be fit for this role if your expertise aligns to:
5+ years of relevant swe experience in the tech industry particularly focused on radar and/or sensor fusion.
A bachelor’s degree in a related technical area (engineering, mathematics, or physics) or a master`s degree in a related field is highly desirable
You are proficient in developing and implementing professional state-of-the-art tracking sensor fusion software (extended multi-object tracking, bernoulli filters, kalman filters, etc.) combined with an ability or desire to use deep learning ai/ml to push the state of the art
Experienced with radar/ew hardware, firmware, and software and the ability to model, simulate, and analyze system performance
Previous experience in modeling and simulating representative theatre environments for radar and ew systems
Previous experience with phased arrays for radar or ew systems
Deep understanding of transmitters & receivers, and ability to do link budget and rf chain analyses
Demonstrated understanding of theory and operations of computer and network systems as they apply to radar systems control and processing
Proven knowledge of at least one higher-level language (e.g., python and go)
You have skills with general statistical signal processing algorithms
Hands-on experience with applying deep learning to radar, ew, computer vision, lidar, sar, or other sensor data
The nature of our work: we are driving rapid change in an extremely regulated industryMany of the national security programs that are supported by rebellion’s products operate in secure environments and access to those spaces and the data in them may require an active personnel security clearanceIt is a requirement of this position that you are able to obtain and hold a personnel security clearance at the right level.
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Our commitment to candidate experience:
We are a team of advocates for our candidates while building a fair and equitable process.
Our team empowers our candidates, business partners, and each other through transparency, honesty, and empathy.
We are committed to hiring a unique and diverse team with the shared vision that rebellion is the go-to ai suite for national defense and security.
Our interview process:
To start, you’ll have an initial 30 minute conversation with one of our amazing recruiters to learn more about you and your career goals.
Next, you’ll dive deeper into your background and expertise with the hiring manager for 30-45 minutes
Lastly, you will have the opportunity to meet with members across our team for competency focused interviews covering both technical aspects of the role and our company culture.
What we offer you:
An opportunity to be a part of something bigger; a mission with real impact
A chance to be a part of a people-first team
Robust career growth and advancement opportunities
A comprehensive range of benefits that are fair, equitable, and competitive that include the following:
Company-paid, full coverage, inclusive health care (medical, dental vision) for you and your family.
Flexible paid time off
Annual vacation bonus
Generous parental leave
Stock option grants
Retirement & savings plan with company match
An equal opportunity employer/veterans/disabled.
Rebellion defense is an equal opportunity employer and makes employment decisions on the basis of merit and business needsRebellion defense does not discriminate against applicants on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national origin, veteran status, disability, or any other protected characteristic in accordance with federal, state, and local law.
