Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions ... or robotics * Python, Go, C++, SQL, PyTorch, TensorFlow, scikit-learn, FastAPI, Postgres, or ...
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Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions ... or robotics * Python, Go, C++, SQL, PyTorch, TensorFlow, scikit-learn, FastAPI, Postgres, or ...
Corporate Counsel
Huntsville, AL · On-site +1
$150K - $175K/yr
Performance Drone Works (PDW) is building the next generation of tactical robotic systems used ... Regulatory Research and Interpretation • Risk Management • Other duties as assigned.
Corporate Counsel
Huntsville, AL · On-site +1
$150K - $175K/yr
Performance Drone Works (PDW) is building the next generation of tactical robotic systems used ... Regulatory Research and Interpretation • Risk Management • Other duties as assigned.
Remote Robotics Research information
What are the key skills and qualifications needed to thrive as a Remote Robotics Researcher, and why are they important?
To thrive as a Remote Robotics Researcher, you need a strong background in robotics, computer science, and engineering, often supported by an advanced degree (Master's or PhD) in a related field. Familiarity with programming languages (such as Python or C++), robotics operating systems (like ROS), and simulation tools (e.g., Gazebo, MATLAB) is typically required. Exceptional problem-solving, independent research skills, and effective virtual communication help you excel in remote, collaborative environments. These competencies are crucial for advancing robotics innovation while efficiently contributing to distributed research teams.
What are some common challenges faced by professionals in remote robotics research, and how are they typically addressed?
One common challenge in remote robotics research is effective collaboration across distributed teams, especially when working in different time zones. Researchers often rely heavily on digital communication tools and version control systems to coordinate experiments, share results, and troubleshoot issues in real-time. Another challenge is accessing and managing physical robotics hardware remotely, which is often addressed by using simulation environments and remote access protocols. Successful professionals in this field develop strong communication skills, adaptability, and familiarity with remote testing platforms to overcome these hurdles.
What is remote robotics research?
Remote robotics research involves studying and developing robotic systems and technologies from a location that is not physically on-site, often using digital communication tools and remote access to hardware or simulations. Researchers in this field might design algorithms, run simulations, or control robots over the internet to test new ideas. This approach enables collaboration across different regions and can reduce costs associated with travel and physical infrastructure. It also allows researchers to work with advanced robotics platforms that may be located in specialized labs or facilities around the world.
What are popular job titles related to Remote Robotics Research jobs in Alabama? For Remote Robotics Research jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Research jobs in Alabama look for? The top searched job categories for Remote Robotics Research jobs in Alabama are:
What cities in Alabama are hiring for Remote Robotics Research jobs? Cities in Alabama with the most Remote Robotics Research job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 24 days ago
Job description
R&D Software Engineer — AI/ML Mission Solutions
Location: United States
Work Model: Remote
Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions
Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance.
Build AI/Data Capabilities for Mission-Focused R&D
Rackner is hiring an R&D Software Engineer — AI/ML Mission Solutions to help build, prototype, validate, and improve AI/data-driven software capabilities for defense-relevant use cases.
This is a hands-on R&D role for an engineer who enjoys solving hard problems across software, data, AI/ML, algorithms, RAG, agentic systems, simulation, or pipeline workflows. You will work with Rackner's internal R&D team to turn ambiguous ideas, operational needs, and user feedback into working technical capabilities.
We are not looking for one person to be an expert in every area. The strongest candidates bring one deep technical lane — such as AI/ML systems, RAG/agentic workflows, data pipelines, Python/Go development, Kubernetes/deployable systems, MLOps, or algorithmic software — plus enough working knowledge in adjacent areas to contribute in a fast-moving R&D environment.
This is not a traditional sales role and not a platform-only engineering role. Kubernetes, Terraform, cloud, CI/CD, and DevSecOps are helpful, but the main focus is software engineering, AI/data systems, algorithmic problem-solving, validation, and R&D execution.
What You'll Do
- Design, prototype, test, and refine AI/data-driven software capabilities for mission-focused use cases
- Build software for AI/ML experimentation, RAG or agentic workflows, model integration, simulation, data pipelines, and applied R&D prototypes
- Develop and improve data workflows, schema transformations, JSON workflows, APIs, backend services, and integration layers
- Support AI/ML workflows including inference, evaluation, deployment, monitoring, and model-serving patterns
- Validate outputs through testing, data quality checks, evaluation methods, debugging, monitoring, and failure analysis
- Troubleshoot complex issues across software, data, model, and integration layers
- Work with engineers and technical leadership to assess tradeoffs, identify constraints, and improve solution design
- Participate in technical demos, R&D events, mission-user discussions, and feedback cycles as needed
- Convert stakeholder or mission feedback into actionable technical steps
- Clearly explain technical concepts to engineering teams, program stakeholders, customers, and mission users
What You'll Bring
- Strong software engineering background with hands-on experience building, testing, debugging, and improving modern systems
- Proficiency in Python, Go, C++, Java, SQL, or a similar language used for backend, data, AI/ML, or algorithmic work
- Hands-on depth in at least one relevant area: AI/ML systems, RAG, agentic development, LangChain, data pipelines, MLOps, algorithmic software, simulation, or deployable systems
- Ability to clearly explain what you personally built, how the system worked, what broke, how you validated it, and what impact it had
- Familiarity with real-world data workflows, including data sources, APIs, schemas, transformations, databases, files, events, or logs
- Comfort working in fast-paced environments with evolving requirements
- Willingness to travel approximately 15% for R&D events, demos, collaboration sessions, or customer and mission engagements
Experience That Stands Out
- DoD, Air Force, Platform One, Big Bang, mission planning, C2, ISR, autonomy, or defense technology experience
- AI/ML systems, applied AI workflows, RAG, agentic development, LangChain, model integration, evaluation, deployment, serving, registry, or monitoring
- MLOps tools or workflows such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, Dagster, Prefect, or similar tools
- Data pipelines, ETL/ELT workflows, schema transformations, JSON transformations, dbt pipelines, or messy data integration workflows
- Data validation, data quality checks, pipeline monitoring, failure handling, debugging, or observability for data/model workflows
- Algorithms, optimization, simulation, scientific computing, applied mathematics, physics-informed software, computer vision, autonomy, or robotics
- Python, Go, C++, SQL, PyTorch, TensorFlow, scikit-learn, FastAPI, Postgres, or related software/data/AI tooling
- Technical demos, pilots, field exercises, workshops, briefings, or customer / mission-user discussions
- Cloud, Docker, Kubernetes, Terraform, CI/CD, DevSecOps, ATO, or secure delivery experience
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions.
Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
Rackner invests in its people, because when you grow, we all win.
- Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas
- Clear advancement tracks and future leadership opportunities
- 401(k) with 100% match up to 6%
- Comprehensive medical, dental, vision, life, and disability coverage
- Generous PTO and paid holidays
- Home-office equipment plan and remote work support
- Fitness and wellness reimbursement
- Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
About Rackner
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Silver Spring, MD, US
Year founded
2015