autonomous systems engineer

Muks Robotics LLP

Job Title: Robotics Software EngineerLocation: Baner, PuneCompany: Muks RoboticsEmployment Type: Full-time | On-siteAbout the RoleWe are seeking a Robotics Software Engineer to join our dynamic team developing advanced autonomous robotic systems. The ideal candidate will have a strong background in robotics software development, real-time systems, and algorithm implementation for navigation, mapping, and perception.Key Responsibilities<ul><li>Design, develop, and implement robotics software for autonomous mobile robots.</li><li>Work on navigation, SLAM (Simultaneous Localization and Mapping), path planning, and obstacle avoidance algorithms.</li><li>Integrate sensors (LiDAR, cameras, IMU, GPS) and ensure efficient data fusion.</li><li>Develop and maintain ROS/ROS2-based applications and packages.</li><li>Collaborate with hardware, mechanical, and AI teams to ensure seamless system integration.</li><li>Optimize robot performance through testing, simulation, and debugging.</li><li>Maintain clean, modular, and scalable code following software best practices.</li><li>Participate in field testing, calibration, and performance evaluation of robotic systems.</li></ul>Required Skills &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Computer Science, Electronics, or related fields.</li><li>2&ndash;5 years of experience in robotics software development.</li><li>Strong proficiency in C++ and Python.</li><li>Hands-on experience with ROS/ROS2, Gazebo, RViz, and Linux environments.</li><li>Familiarity with SLAM, path planning, and sensor integration.</li><li>Experience with OpenCV, PCL, or similar libraries.</li><li>Knowledge of TCP/UDP communication and real-time control systems.</li><li>Strong problem-solving and debugging skills.</li></ul>Preferred Qualifications<ul><li>Experience with AI-based perception systems (object detection, depth estimation, etc.).</li><li>Knowledge of embedded systems, microcontrollers, or firmware integration.</li><li>Exposure to simulation tools (Webots, Isaac Sim, etc.).</li><li>Understanding of version control (Git) and CI/CD workflows.</li></ul>Job Type: Full-timeWork Location: In person

Robotics Software Engineer

MechioniX

We are seeking a highly skilled Drone Engineer with expertise in Drone Swarm Systems to join our growing autonomous systems team. The ideal candidate will have hands-on experience designing and implementing multi-UAV coordination systems, distributed control algorithms, and autonomous flight architectures.This role focuses on developing intelligent drone swarms capable of synchronized operations, formation control, task allocation, and real-time communication in dynamic environments.Key Responsibilities<ul><li>Design and develop multi-drone swarm architectures</li><li>Implement distributed control and consensus algorithms</li><li>Develop real-time communication systems for drone-to-drone coordination</li><li>Program autonomous navigation and collision avoidance systems</li><li>Integrate swarm intelligence models (flocking, formation control, task allocation)</li><li>Work with PX4 / ArduPilot flight controllers</li><li>Conduct simulation and field testing of swarm behavior</li><li>Optimize system performance, redundancy, and fail-safe mechanisms</li><li>Collaborate with hardware, AI, and software teams</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Engineering, or related field</li><li>2+ years of experience in UAV systems or autonomous robotics</li><li>Strong programming skills in Python and C++</li><li>Experience with ROS / ROS2</li><li>Experience with MAVLink, PX4, or ArduPilot</li><li>Strong understanding of control systems, path planning, and distributed systems</li></ul>Preferred Qualifications<ul><li>Experience in multi-agent reinforcement learning</li><li>Familiarity with Gazebo, AirSim, or similar simulation platforms</li><li>Computer vision and perception systems experience</li><li>Knowledge of RF communication or mesh networking</li><li>Experience in research, defense, or industrial drone applications</li></ul>Job Type: Full-timeWork Location: In person

Drone Engineer/ Drone Swarm system Engineer

KINDO

<div><h1 class="jobSectionHeader">Principal AI Systems Engineer &mdash; Agentic Platforms</h1>
<h2 class="jobSectionHeader">The Moment</h2>

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we're already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.
<h2 class="jobSectionHeader">
About Kindo</h2>

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We're a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape the platform's technical direction and long-term evolution.
<h2 class="jobSectionHeader">
The Role</h2>

You will define and evolve the architectural foundations of Kindo's agent platform. This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers. You'll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do.

This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging. You'll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform's durable foundation. You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely.

Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions.
<h2 class="jobSectionHeader">
What You'll Build</h2>
<ul><li>Agent execution architectures, including autonomous task loops, scheduling, triggers, control planes, and failure isolation</li>
<li>Retrieval and memory architectures, including persistent, structured, and contextual memory systems</li>
<li>Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes</li>
<li>Tool-calling and integration frameworks for safe interaction with external services and enterprise environments</li>
<li>Reliability, security, and operability foundations, including evaluation, observability, auditing, and recovery paths</li>
<li>Core platform primitives and architectural patterns that enable entirely new autonomous capabilities safely</li>
</ul><h2 class="jobSectionHeader">How You Build</h2>

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift.

You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security.
<h2 class="jobSectionHeader">
What We're Looking For</h2>

We care far more about what you've built than what's on your resume.

You:
<ul>
<li>Have deep expertise designing and operating complex backend or distributed systems in production</li>
<li>Have built and evolved platform-level architectures that remained durable under rapid change</li>
<li>Have built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes</li>
<li>Demonstrate exceptional architectural judgment around reliability, security, observability, and long-term system evolution</li>
<li>Have invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness</li>
<li>Actively track emerging tools, models, and approaches and translate the best of them into production systems</li>
<li>Use AI as a core part of your engineering workflow, not as an occasional convenience</li>
<li>Operate with exceptional ownership and take systems end-to-end, including long-term evolution</li>
</ul>
Technical requirements:
<ul>
<li>TypeScript required, Python strongly preferred</li>
<li>Strong SQL proficiency</li>
<li>Experience with production infrastructure; Docker/Kubernetes experience is a plus</li>
<li>Familiarity with enterprise security patterns is a plus</li>
<li>Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus</li>
</ul><h2 class="jobSectionHeader">Culture</h2>

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.
<h2 class="jobSectionHeader">
Compensation and Location</h2>

Compensation: $250,000&ndash;$330,000 base salary plus competitive equity 
Location: Venice, San Francisco, Remote, or Hybrid
<h2 class="jobSectionHeader">
How to Apply</h2>

Send us:
<ul>
<li>Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you've built. We want to see how you think, not just what you've done.</li>
<li>A brief note on what excites you about agentic systems and where you think the hard problems are.</li>
<li>Your resume, but know that the first two items matter more.</li>
</ul>
We'll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.</div>

Principal AI Systems Engineer — Agentic Platforms

SteerAI

<div>
 
 
 About SteerAI
 
 
 
 SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI&rsquo;s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 As a Senior Decision-making Engineer with expertise in intelligent state management systems that blend advanced machine learning with proven decision logic, you will be at the forefront of developing and integrating advanced algorithms and autonomous systems. Your role centers on designing high-level mission management frameworks enhanced by deep neural networks acting as state checkers and policy decision units. Collaboration with interdisciplinary teams is key to integrating decision-making systems across various vehicle types and applications, focusing on robust, reliable performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, implement, and optimize the current software architecture of the autonomous stack with a focus on hybrid decision-making systems. The goal is to exploit data-driven learning for complex scenario handling while maintaining a rule-based structure for safety and interpretability.
 </li>
 <li>
 Develop a comprehensive, behavior-based decision-making framework for diverse autonomous ground vehicles.
 </li>
 <li>
 Design, implement, and optimize the deliberation system to ensure adaptability and efficiency across different vehicle dynamics and applications.
 </li>
 <li>
 Develop unit and functional test cases for the autonomous stack. (code coverage, memory management, integration with the CI/CD pipeline)
 </li>
 <li>
 Conduct thorough evaluations of the autonomous vehicle&rsquo;s decision-making architecture, comparing classical methods and deep learning-based methods for performance, safety, and reliability.
 </li>
 <li>
 Collaborate across functions for seamless integration of decision-making modules with vehicle systems.
 </li>
 <li>
 Produce extensive technical documentation and support internal teams and third-party understanding and adoption.
 </li>
 <li>
 Work in projects utilizing C++, Python and various ROS components.
 </li>
 <li>
 Conduct field tests with the platforms as part of the development pipeline
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Proven experience in decision-making algorithms for autonomous ground robots.
 </li>
 <li>
 In-depth knowledge of utility-based decision-making, behavior trees, state machines, and planning languages like PDDL.
 </li>
 <li>
 In-depth understanding of various decision-making paradigms - from classical utility-based and rule-based systems to modern learning-based methods.
 </li>
 <li>
 Practical experience with multi-vehicle systems, ground robots, and autonomous vehicle challenges.
 </li>
 <li>
 Excellent problem-solving, creativity, and attention to detail.
 </li>
 <li>
 Outstanding communication and teamwork skills, capable of leading in interdisciplinary settings.
 </li>
 <li>
 Continuous learning commitment, staying up to date on the newest advances in autonomous driving and it&rsquo;s related technologies.
 </li>
 <li>
 Expertise in C++ debugging tools like gdb, valgrind etc. and profilers like gperftools.
 </li>
 <li>
 Experience with ground robotics projects involving Linux, docker, ROS2, git, and agile tools like Jira.
 </li>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Robotics, Computer Science, Engineering, or related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 
 We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.
 
 
 Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.
 
 
 Join us to drive innovation and shape the future of technology!
 
</div>

Senior Decision-Making Engineer

YO IT Consulting

<div>
 
 Machine Learning Engineer
 
 to help design, train, and deploy large-scale learning systems powering autonomous AI agents for its AI lab partner. This role is ideal for engineers passionate about building models that think, adapt, and perform complex tasks in real-world environments. You'll be working at the intersection of ML research, systems engineering, and AI agent behavior &mdash; transforming ideas into robust, scalable learning pipelines.
 
 
 
 You're a Great Fit If You
 
 
 
 <ul>
 <li>
 Have a strong background in machine learning, deep learning, or reinforcement learning.
 </li>
 <li>
 Are proficient in Python and familiar with frameworks such as PyTorch, TensorFlow, or JAX.
 </li>
 <li>
 Understand training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization.
 </li>
 <li>
 Can implement end-to-end ML systems, from preprocessing and feature extraction to training, evaluation, and deployment.
 </li>
 <li>
 Are comfortable with MLOps tools (e.g., Weights &amp; Biases, MLflow, Docker, Kubernetes, or Airflow).
 </li>
 <li>
 Have experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.
 </li>
 <li>
 Think critically about model performance, generalization, and bias, and can measure results through data-driven experimentation.
 </li>
 <li>
 Are curious about AI agents and how models can simulate human-like reasoning, problem-solving, and collaboration.
 
 
 </li>
 </ul>
 
 Primary Goal Of This Role
 
 
 
 To develop, optimize, and deploy machine learning systems that enhance agent performance, learning efficiency, and adaptability. You'll design model architectures, training workflows, and evaluation pipelines that push the frontier of autonomous intelligence and real-time reasoning.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement.
 </li>
 <li>
 Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making.
 </li>
 <li>
 Collaborate with data scientists to collect and preprocess training data, ensuring quality and representativeness.
 </li>
 <li>
 Develop benchmarking tools that test models across reasoning, accuracy, and speed dimensions.
 </li>
 <li>
 Implement reinforcement learning loops and self-improvement mechanisms for agent training.
 </li>
 <li>
 Work with systems engineers to optimize inference speed, memory efficiency, and hardware utilization.
 </li>
 <li>
 Maintain model reproducibility and version control, integrating with experiment tracking systems.
 </li>
 <li>
 Contribute to cross-functional research efforts to improve learning strategies, fine-tuning methods, and generalization performance.
 
 
 </li>
 </ul>
 
 Why This Role Is Exciting
 
 
 
 <ul>
 <li>
 Build the core learning systems that power next-generation AI agents.
 </li>
 <li>
 Combine ML research, engineering, and systems-level optimization in one role.
 </li>
 <li>
 Work on uncharted challenges, designing models that can reason, plan, and adapt autonomously.
 </li>
 <li>
 Collaborate with a world-class AI team redefining how autonomous systems learn and evolve.
 
 
 </li>
 </ul>
 
 Pay &amp; Work Structure
 
 
 
 <ul>
 <li>
 You'll be classified as an hourly contractor.
 </li>
 <li>
 Paid weekly via Stripe Connect, based on hours logged.
 </li>
 <li>
 Part-time (20 hrs- 40 hrs/week) with fully remote, async flexibility &mdash; work from anywhere, on your own schedule.
 </li>
 <li>
 Weekly Bonus of $500 - $1000 per 5 task created.
 </li>
 </ul>
</div>

Data Scientist- Machine Learning

Forterra

<div>About Forterra 
 
At Forterra, we are unleashing autonomy at scale to transform the battlefield. Our mission is to build the foundational platforms that enable an intelligent ecosystem to coordinate, adapt, and execute with speed and precision even in the uncertainty and disruption of modern conflict. In an era marked by rapid technological change and evolving threats, we design for flexibility, survivability, and operational dominance. 
 
Forterra delivers weapons, sensors, and battlefield effects through integrated autonomous networks reaching operational areas faster, safer, and without placing human lives at risk. Our systems operate with distributed control, dynamic routing, and real-time responsiveness, enabling sustained advantage across complex mission environments. 
About the Role 
Forterra is seeking a talented Software Integration Engineer with a passion for autonomous systems to design, develop, and optimize software solutions that enable intelligent behavior in robotics and automation technologies. The ideal candidate has a strong software development background, familiarity with robotics and autonomous systems, and proven track record of collaborating with a cross-functional team of engineers, researchers, and product managers to create robust and scalable software for complex systems. 
What You'll Do<ul><li>
Design and implement software using C++ in a Linux environment</li><li>
Work with stakeholders to define requirements and integrate and verify systems</li><li>
Integrate software into production platforms and deploy it</li><li>
Develop and maintain software solutions, including debugging, maintenance, and updating</li><li>
Test and evaluate performance of software feature in both simulation and on-vehicle</li><li>
Work with cross functional teams to ensure reliable and effective vehicle behavior</li><li>
Analyze test results, identify issues, and collaborate with engineering teams to resolve problems</li><li>
Provide performance data and constructive feedback to hardware design and manufacturing teams</li><li>
Travel ranging from 10-25% and 25-50% depending on candidate preference and role placement</li><li>
Ability to commute to Clarksburg, MD as needed.</li></ul>
Minimum Qualifications<ul><li>
5 or more years of relevant experience</li><li>
B.S. in computer science, engineering, robotics, or related field</li><li>
Experience in integrating software on hardware products</li><li>
Strong programming skills in languages such as C++ or Python</li><li>
Solid core software engineering skills: software design, unit testing, debugging</li><li>
Ability to consistently deliver production-quality software in a continuously integrated environment</li><li>
Strong understanding of algorithms, data structures, and software design principles</li><li>
Demonstrates clean, maintainable code and documentation practices</li><li>
Experience working in teams and a willingness to proactively solve problems</li></ul>
Preferred Qualifications<ul><li>
Experience in software development for robotics and autonomous systems</li><li>
Experience with safety-critical systems (e.g., MIL-STD-882, ISO-26262, DO-178)</li><li>
Experience with state machines, motion, path planning, and/or perception pipelines</li><li>
Knowledge of navigation, localization, and/or mapping algorithms</li><li>
Familiarity with real-time operating systems and embedded programming</li><li>
Leadership experience on cross-functional software teams</li></ul> 
US Salary Range 
 $130,000&mdash;$200,000 
The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra&rsquo;s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:<ul><li>
Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.</li><li>
Basic Life/AD&amp;D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.</li><li>
Extremely generous company holiday calendar including a winter break in December.</li><li>
Competitive paid time off (PTO) offering 20 days accrued per year.</li><li>
A minimum of 7 weeks fully paid parental leave for birth/adoption.</li><li>
A $9k annual tuition reimbursement or professional development stipend.</li><li>
Fully stocked beverage refrigerators with all the Celsius your little heart desires.</li><li>
401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.</li></ul>
Your recruiter will be able to share more information about our salary and benefits offering during the hiring process. 
Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment. 
The pay range for this role is: 
130,000 - 200,000 USD per year(AVA)</div>

Software Integration Engineer

Peraton

<div>About Peraton 
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. 
 
Program Overview 
 
About The Role 
 
Peraton Labs is seeking a hands-on Research Software Engineer to join our Autonomous Systems team and build reliable, production-quality software in support of advanced prototyping and experimentation (research background a plus but not required). This position is perfect for an engineer who thrives in ambiguity, works independently, consistently delivers tangible outputs, and is interested in supporting AI enhanced defense related applications and networking systems. 
 
For this position, we're looking for a software engineer with solid experience in modern Java, Python and C/C++. The candidate must hold strong networking fundamentals and solid Linux-based development experience. 
 
Key responsibilities may include- 
 
<ul><li>Design, build, and maintain software components supporting AI enhanced defense related applications and networking systems
</li><li>Develop clean, testable, maintainable code in Java, Python and C/ C++</li><li>Implement and integrate services that interact with networked systems and data flows</li><li>Translate loosely defined needs into working software: clarify requirements, propose approaches, execute, and iterate</li><li>Produce clear technical artifacts such as design notes, readmes, diagrams, test plans, and implementation documentation</li><li>Collaborate with various teams and programs while owning deliverables end-to-endQualifications</li></ul> 

Required Qualifications 
 
<ul><li>Minimum of a BS with 5+ years of experience, MS with 3+ years of experience or PhD with 1+ YoE in Computer Science, Computer Engineering, or closely related field</li><li>Demonstrated experience as a Software Engineer in a professional environment</li><li>Deep expertise in modern Java with minimum of 5000 LoC development in Python and C/C++ in the last 5 years</li><li>Solid networking fundamentals:
</li><li>IP stack basics- TCP/UDP, sockets, DNS, routing concepts</li><li>Network config concepts- Subnetting, VLANs, interface configuration</li><li>Protocol layering and network architecture</li><li>Proficiency with Linux, Git, and Docker for building, debugging, packaging, and running services/containers. Hands-on Linux use within the past 2 years required</li><li>Demonstrated ability to work independently, manage ambiguity, and deliver working software in iterative cycles</li><li>Excellent oral and written communication skills (technical + well-structured documentation)</li><li>Candidates must be local to and willing to commute to our Basking Ridge, NJ location.</li><li>US Citizenship is a requirement for this position</li></ul> 

Preferred Qualifications 
 
<ul><li>Experience Java tools / frameworks such as Spring, Lombok and MapStruct</li><li>Experience with Kubernetes</li><li>Experience with microservices-based architectures (e.g., service decomposition, API design, resilience patterns, observability)</li><li>Familiarity with Publish / Subscribe systems such as RabbitMQ and Kafka</li><li>Familiarity with controlled lab/testbed environments</li><li>Military domain experience specific to Command and Control (C2) systems, military communications and networking, and/or message formats/protocols</li><li>Experience applying ML to cybersecurity or network analytics, such as:</li><li>Intrusion detection, anomaly detection, malware/behavior modeling</li><li>Cyber deception/defense concepts, telemetry analytics pipelines</li><li>Evidence of technical impact beyond day-to-day delivery:</li><li>Open-source contributions, patents, peer-reviewed publications, or other research/engineering impact</li></ul> 

SCA / Union / Intern Rate or Range 
 
Details 
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
 
 
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
 
 
Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
 
 
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div>

Research Software Engineer

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