Autonomous Systems

Autonomous Systems Developer Jobs

4 jobs found

Today

Senior Forward Deployed Software Engineer

Saronic Technologies Austin, TX

Austin, TX

Today

Full time Senior Automation Autonomous Systems

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Job Description

Senior Forward Deployed Software Engineer role focused on deploying, integrating, and improving autonomous systems in real-world maritime environments.

Responsibilities

Lead design, development, and optimization of software for autonomy, networking, and mission execution, emphasizing robust performance in dynamic maritime conditions
Drive field testing and deployment strategies, validating autonomy, perception, and control systems under operational conditions and proactively identifying systemic issues
Own analysis of mission-critical performance data, turning operational insights into software changes that improve behavior, reliability, and responsiveness
Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware with a modular, scalable design
Partner with operators, mission planners, and end-users, converting feedback into actionable requirements and guiding evolution of the autonomy stack
Lead incident response and root cause analysis across software, hardware, and networking layers, then implement durable fixes that improve system resilience
Mentor and collaborate with cross-functional teams, aligning autonomy engineering with product and mission goals and improving engineering practices
Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support scaling across operational fleets

Requirements

5+ years experience developing autonomy or robotics systems, with strong software engineering foundations
Strong programming skills in C++, Rust, Python, or similar languages, with experience in performance-critical systems
Deep background in robotics, autonomy, or embedded systems, especially in maritime, aerospace, or defense contexts
Working knowledge of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks such as ROS and ZeroMQ
Hands-on experience integrating perception sensors including cameras, radar, GPS, and IMUs, with emphasis on real-time sensor fusion
Proven ability to debug and resolve complex, cross-disciplinary problems across software, hardware, networking, and autonomy behavior
Experience adapting autonomy to real-world constraints such as variable environments, limited communications, and platform-specific limitations
Willingness and capability to lead field deployments (up to 50%), with a track record of testing and refining autonomy in operational maritime or expeditionary settings
Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
Domain knowledge in maritime systems, naval operations, or defense technology with awareness of mission-critical operational needs
Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
Leadership in system integration, testing, and operationalization, coordinating with engineering, product, and field teams to deliver deployable systems

Technologies

C++, Rust, Python
TCP/IP, UDP, DDS
ROS, ZeroMQ
Cameras, radar, GPS, IMUs
Behavior trees

Benefits

Medical Insurance
Dental and Vision Insurance
Saronic pays 100% of the premium for employees and 80% for dependents
Generous PTO and Holidays
Paid maternity and paternity leave
Competitive Salary with opportunities for performance-based bonuses
401(k) plan
Equity options (Stock Options)
Basic life insurance and short- and long-term disability coverage
Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands

Prolonged periods of sitting at a desk and working on a computer
Occasional standing and walking within the office
Manual dexterity to operate a computer keyboard, mouse, and other office equipment
Visual acuity to read screens, documents, and reports
Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Saronic CCPA Notice for Candidates and California Employees

If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits
We are also committed to providing reasonable accommodations for qualified individuals with disabilities

Location: Austin, TX (onsite) | Experience: 5+ years

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Today

Senior Forward Deployed Software Engineer

Saronic Technologies Arlington, VA

Arlington, VA

Today

Full time Senior Autonomous Systems Deployed

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Job Description

Saronic Technologies is building autonomy for real-world maritime operations, where software, networking, and sensing must work reliably in dynamic environments. In this Senior Forward Deployed Software Engineer role in Arlington, VA (onsite), you will help integrate, deploy, and continuously improve autonomous service vessels through hands-on field testing, debugging, and performance optimization grounded in operational data.

What you’ll do

Lead the design, development, and optimization of advanced autonomy, networking, and mission execution software with a focus on robust performance in maritime conditions
Drive field testing and deployment strategies, validating autonomy, perception, and control systems under operational conditions while proactively identifying systemic issues
Own analysis of mission-critical performance data and turn operational insights into software improvements that increase reliability and responsiveness
Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware using a modular and scalable design approach
Collaborate directly with operators, mission planners, and end-users to translate feedback into actionable requirements and guide evolution of the autonomy stack
Lead incident response and root cause analysis across software, hardware, and networking layers, then implement durable fixes to strengthen system resilience
Mentor and work with cross-functional teams to align autonomy development with product and mission goals, improving engineering practices across the organization
Establish and maintain technical standards, including deployment protocols, diagnostic tools, and documentation to support scaling autonomy systems in operational fleets

What you bring

5+ years of experience developing autonomy or robotics systems, with a strong software engineering foundation
Strong programming skills in C++, Rust, Python, or similar languages, including experience building performance-critical systems
Deep technical background in robotics, autonomy, or embedded systems, especially within maritime, aerospace, or defense contexts
Solid understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks such as ROS and ZeroMQ
Hands-on experience integrating perception sensors including cameras, radar, GPS, and IMUs with emphasis on real-time sensor fusion
Ability to debug and resolve complex cross-disciplinary issues spanning software, hardware, networking, and autonomy behavior
Experience adapting autonomy systems to real-world constraints such as variable environments, limited communications, and platform-specific limitations
Willingness and capability to lead field deployments (up to 50%), with experience testing and refining autonomous systems in operational maritime or expeditionary contexts
Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
Domain knowledge in maritime systems, naval operations, or defense technology, with understanding of mission-critical operational needs
Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing under communication-limited settings
Experience delivering robust, deployable systems through system integration, testing, and operationalization across engineering, product, and field teams

Technologies you’ll work with

C++, Rust, Python
TCP/IP, UDP, DDS, ROS, ZeroMQ
cameras, radar, GPS, IMUs, behavior trees

Benefits

Medical Insurance
Dental and Vision Insurance
Saronic pays 100% of the premium for employees and 80% for dependents
Generous PTO and Holidays
Paid maternity and paternity leave
Competitive Salary
401(k) plan
Equity options
Basic life insurance and short- and long-term disability coverage
Free lunch benefit and unlimited free drinks and snacks in the office

Physical demands

Prolonged periods of sitting at a desk and working on a computer
Occasional standing and walking within the office
Manual dexterity to operate a computer keyboard, mouse, and other office equipment
Visual acuity to read screens, documents, and reports
Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
Lifting and carrying items up to 20 pounds occasionally (for example, office supplies, packages)

SARONIC CCPA NOTICE FOR CANDIDATES AND CALIFORNIA EMPLOYEES:

If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status.
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

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3d ago

Autonomy Test and Evaluation Tools Software Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

3d ago

$100k - $245k/yr Full time Autonomous Systems Data Analysis Engineering

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Job Description

Johns Hopkins Applied Physics Laboratory (APL) is seeking an Autonomy Test and Evaluation Tools Software Engineer to help build simulation-based test and evaluation software for autonomous maritime platforms. This role focuses on creating high-fidelity simulation environments, verifying and validating autonomy decision-making, and connecting real-world field data with analysis in an agile prototyping workflow.

What you’ll do

Build end-to-end software tools for simulation-based test and evaluation (T&T&E), spanning requirements definition, architecture, implementation, and validation.
Design and develop high-fidelity simulation environments to assess autonomy algorithms under both nominal and off-nominal conditions.
Create approaches for verification and validation of decision-making systems, including coverage for edge cases and emergent behaviors.
Use data science, statistics, and machine learning techniques to evaluate system performance and develop new evaluation methods.
Plan and support field experiments, integrating real-world data with simulation-based analysis.
Work with multidisciplinary teams in an agile, rapid prototyping environment.

Basic qualifications

BS in Software Engineering, Computer Science, or a related technical field such as Robotics, Physics, or Mathematics.
5+ years of professional experience in software development using Python and/or C++.
Experience with full-lifecycle software development.
Experience or interest in autonomous systems, robotics, simulation, or test and evaluation.
Experience developing or working with simulation environments or modeling and simulation (M&S) tools.
Strong organizational and planning skills, including a track record of contributing effectively in team settings.
Ability to communicate clearly in both written and verbal formats.
Ability to obtain an interim Secret-level security clearance by your start date and ultimately obtain a Top Secret clearance.

Technologies you may work with

Python, C++, ROS, Gazebo, Unity

Compensation and location

Location: Laurel, MD (onsite)
Salary range: USD 100,000 - 245,000 per year
Annual salary note: Annual salary will be prorated based on the number of hours worked for salaried employees scheduled to work less than 40 hours per week.

Benefits

Comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.
Robust education assistance program.
Unparalleled retirement contributions.
Healthy work/life balance.
Sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance.

Considered a plus

MS or PhD in Software Engineering, Computer Science, Robotics, or a related technical field.
Experience developing or evaluating autonomous systems, including decision-making, planning, or behavior-based autonomy.
Experience in simulation-based test and evaluation or M&S environments.
Experience with verification and validation (V&V) of complex or safety-critical systems.
Experience developing machine learning approaches such as reinforcement learning, imitation learning, or online/offline learning.
Experience integrating autonomy software into simulation frameworks (e.g., ROS, Gazebo, Unity, or similar environments).
Experience supporting or leading field testing of autonomous systems.
Active Top Secret security clearance.

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9d ago

Senior Software Developer

SOUTHEASTERN COMP CONSULTANTS INC King George, VA

King George, VA

9d ago

Full time Senior Autonomous Systems Edge Ai

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Job Description

SOUTHEASTERN COMP CONSULTANTS INC (SCCI) is building a newly established R&D department focused on next-generation autonomous systems and immersive training solutions for defense and government customers. In this onsite role in King George, VA, you will help bring applied AI/ML capabilities from prototype concepts to transition-ready demonstrations, with work grounded in defense operational needs.

As a Senior Software Developer (5+ years of experience), you will contribute to an R&D mission that emphasizes applied machine learning, including computer vision, edge-based inference, and autonomous swarm control, supporting customers in and around Dahlgren, VA.

What you’ll do

Identify emerging DoD capability gaps and operational needs early by developing AI/ML prototype concept ideas ahead of formal government solicitations, supporting positioning for OTA responses, SBIR/STTR opportunities, and DoD challenge competitions
Drive the R&D technical vision for AI/ML capabilities, with an active focus on computer vision, edge-based inference, and autonomous swarm control, while scanning the threat and technology landscape for the next competitive frontier
Translate operational military requirements into AI/ML prototype solutions that are demonstrable, defensible, and transition-ready for program of record or follow-on acquisition
Work with a Program Manager to document technical objectives, effort estimates, and milestone schedules for AI/ML R&D efforts, and track execution against plan
Design, develop, and iterate AI/ML prototypes with emphasis on computer vision applications for edge-deployed systems
Develop and optimize AI/ML models for resource-constrained edge hardware, balancing inference performance, power envelope, and operational reliability
Integrate AI/ML into simulation and training environments to enable adaptive, hyper-realistic training scenarios that respond dynamically to trainee behavior and mission context
Maintain a working prototype pipeline that supports rapid demonstrations for government customers, OTA consortia, and DoD evaluators with minimal lead time
Identify technical risks early, escalate them appropriately, propose mitigation approaches, and adjust development priorities to keep prototype work on schedule and within resource constraints
Mentor and technically guide junior and mid-level developers in applied AI/ML concepts, development practices, and defense problem framing to build internal depth in an area where bench strength is currently limited
Establish repeatable development patterns, coding standards, and documentation practices so the broader team can contribute effectively to AI/ML prototype efforts over time
Monitor competitor capabilities, government R&D investment trends, and emerging academic and commercial AI/ML advances to maintain a differentiated position in autonomous systems and simulation training
Contribute technical concepts for white papers, capability briefs, technical volumes, and proposal content that communicate SCCI’s AI/ML vision and prototype achievements

Required qualifications

U.S. Citizenship with an active Secret Security Clearance
BS degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field
5 to 7 years of hands-on applied AI/ML development, with a portfolio of prototype or fielded systems demonstrating end-to-end ownership from concept through demonstration
Expertise in computer vision development and deployment, including object detection, tracking, classification, and scene understanding in operationally relevant contexts
Experience deploying AI/ML models to edge hardware under real-world constraints (limited compute, power, bandwidth, and connectivity), including optimization techniques such as quantization, pruning, distillation, or equivalent
Experience building AI/ML solutions that support human-machine teaming principles, reducing operator cognitive load through intelligent automation, prioritized cueing, and adaptive interface behavior, maintaining human-on-the-loop or human-in-the-loop control consistent with DoD AI ethics and autonomy policy
Track record of delivering working prototypes on compressed timelines without detailed requirements by translating ambiguous operational problems into functional, demonstrable AI/ML solutions
Ability to fully own a technical effort, covering planning, execution, risk management, and delivery with minimal oversight
Experience defining technical project objectives, estimating work effort and milestone schedules, and holding delivery accountability without external management pressure
Experience mentoring junior and mid-level developers and leveling up team capability over time in applied AI/ML
Ability to establish development standards, reusable patterns, and documentation practices that extend impact across a small team
Experience working within DoD, defense contractor, or government R&D environments with familiarity of military operational contexts, acquisition frameworks, and transition pathways
Experience presenting prototype capabilities and technical concepts to government customers, OTA consortia, program offices, or at defense industry events
Proficiency with Atlassian suite, Google Workspace, and Microsoft Office for project tracking, documentation, and cross-functional collaboration
Demonstrated use of AI-assisted development tools to accelerate R&D workflows and prototype velocity
Experience identifying, evaluating, and recommending compute and hardware infrastructure for AI/ML development and testing environments, including edge devices, GPUs, and supporting lab equipment

Tools and technologies

Atlassian suite
Google Workspace
Microsoft Office
GPUs

Benefits

Health benefits
Dental benefits
Vision benefits
Life and Disability benefits
401k with Company Match
Time off consisting of 2 weeks of paid vacation
48 hours of sick/personal leave
11 paid Holidays

Preferred qualifications

Active Top Secret Security Clearance

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Autonomous Systems Developer Jobs

Senior Forward Deployed Software Engineer

Senior Forward Deployed Software Engineer

Autonomy Test and Evaluation Tools Software Engineer

Senior Software Developer

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