autonomous systems engineer

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, transform operations and protect organizations' most important assets: their workforce.
 
 
 
 
 
 
 About the role
 
 
 
 We are looking for an Integration &amp; Test Engineer to integrate, commission, test, and document SteerAI&rsquo;s autonomous ground vehicle platforms. This role spans the full lifecycle, from software integration and vehicle commissioning through operational trial execution, post-mission reporting, and technical documentation. The role supports both internal trials and commercial customer deployments.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Software Integration:
 
 Integrate autonomy software, and configuration packages into the different platforms. Verify software builds against release notes, run integration tests, and resolve compatibility issues across hardware and software subsystems.
 </li>
 <li>
 
 Commissioning:
 
 Lead end-to-end vehicle commissioning for both trial campaigns and commercial customer deployments. Execute system health checks, sensor calibration, communication link verification, and acceptance test procedures to confirm platform readiness.
 </li>
 <li>
 
 Test Planning and Execution:
 
 Translate trial objectives into executable test procedures and scenarios. Define success criteria, instrumentation plans, and safety boundaries. Direct day-to-day test operations in the field and make real-time decisions on scenario modifications within the approved envelope.
 </li>
 <li>
 
 Technical Documentation:
 
 Create and maintain user manuals, operator training materials, troubleshooting guides, commissioning checklists, and integration procedures. Compile mission metrics and contribute to Operational Insight Briefs and commercial handover documentation.
 </li>
 <li>
 
 Field Preparation and Troubleshooting:
 
 Execute field deployment checklists alongside the UGV / C2 Operator. Troubleshoot hardware and software issues, perform field-level maintenance, and escalate technical problems to the engineering team.
 </li>
 <li>
 
 Vehicle Operation (Cross-Training):
 
 Maintain proficiency in operating UGVs through the C2/FMS interface and remote control, including real-time monitoring, telemetry oversight, and emergency intervention procedures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Mechatronics, Electrical Engineering, Systems Engineering, Computer Engineering, or related field.
 </li>
 <li>
 2+ years of experience in systems integration, test and evaluation, commissioning, or technical operations in defence, aerospace, robotics, or autonomous systems.
 </li>
 <li>
 Familiarity with autonomous vehicle systems, sensor suites (cameras, GNSS, IMU, lidar/radar), and communication systems.
 </li>
 <li>
 Comfortable working in outdoor field environments in various weather conditions.
 </li>
 <li>
 Methodical approach to checklists, procedures, and safety protocols.
 </li>
 <li>
 Proficiency in software integration workflows: flashing firmware, deploying configuration packages, running integration and regression tests. Hands-on experience operating unmanned ground vehicles, robotic systems, or remote-controlled platforms.
 </li>
 <li>
 Experience with structured test methodologies and evaluation frameworks (e.g., DT&amp;E, OT&amp;E). Familiarity with commissioning and acceptance testing procedures.
 </li>
 <li>
 Strong technical writing skills: proven ability to produce user manuals, training materials, troubleshooting guides, and test reports.
 </li>
 <li>
 Valid driver&rsquo;s license.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What we offer
 
 
 
 
 
 
 We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.
 
 
 If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!
 
</div>

Integration and Test Engineer, SteerAI

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 5 + years in data science/ML engineering, with 2 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Data Scientist

TORC Robotics

<div>About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

Join our SW Systems and Safety - Behaviors &amp; Autonomy Team, where we operate at the intersection of safety, autonomy, data, and large-scale system design. Our team works across mapping, AI/ML, validation, and software engineering to define and evaluate the Operational Design Domain (ODD) and ensure our autonomous systems perform safely and reliably in the real world.

We are seeking a Senior Autonomy Systems Engineer with strong experience in data-driven system design, autonomy workflows, and large-scale data analysis. This role focuses on defining how we leverage data across mapping, simulation, and real-world logs to characterize operating environments, derive requirements, and guide system-level decisions.

This is a highly cross-functional role that blends systems thinking with hands-on technical depth in Python, cloud data access, and autonomy data pipelines.

What You'll Be Doing
<ul>
<li>Lead ODD characterization efforts by analyzing large-scale datasets across real-world, simulated, and mapped environments
</li>
<li>Define system-level strategies for leveraging map data (HD/SD), telemetry, and autonomy logs to assess operating conditions
</li>
<li>Design and implement Python-based workflows to extract, transform, and analyze data from cloud-based systems
</li>
<li>Work across internal and supplier-provided datasets (mapping, perception, vehicle data) to derive actionable insights
</li>
<li>Define KPIs and metrics that evaluate safety, performance, and release readiness of autonomy systems
</li>
<li>Translate data insights into system-level requirements, design decisions, and validation strategies
</li>
<li>Collaborate with mapping, perception, AI/ML, and validation teams to align on data usage and system behavior
</li>
<li>Drive technical direction across teams by connecting data, system architecture, and real-world performance
</li>
<li>Identify gaps in data, tooling, and system design and propose scalable solutions
</li>
</ul>What You'll Need to Succeed
<ul>
<li>BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Robotics, Computer Science, Systems Engineering, or related field
</li>
<li>Strong experience working with autonomy, robotics, or large-scale distributed systems
</li>
<li>Proficiency in Python for data analysis, scripting, and system workflows
</li>
<li>Experience accessing and processing large datasets from cloud environments (AWS, GCP, Azure)
</li>
<li>Experience working with mapping systems (HD maps, SD maps, or similar structured spatial data)
</li>
<li>Strong system-level thinking and ability to translate data into design decisions
</li>
<li>Experience working cross-functionally with software, data, and systems teams
</li>
<li>Ability to operate in ambiguous environments and drive clarity through technical direction
</li>
</ul>Bonus Points
<ul>
<li>Experience in autonomous vehicles or ADAS systems
</li>
<li>Familiarity with ODD frameworks, scenario generation, or 6-layer environment modeling
</li>
<li>Experience with safety frameworks (SOTIF, ISO 26262, AI safety)
</li>
<li>Experience working with large-scale data pipelines or distributed systems
</li>
<li>Exposure to simulation environments or autonomy validation workflows
</li>
</ul>Perks of Being a Full-time Torc'r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
<ul><li>A competitive compensation package that includes a bonus component and stock options</li>
</ul><ul><li>100% paid medical, dental, and vision premiums for full-time employees</li>
</ul><ul><li>401K plan with a 6% employer match</li>
</ul><ul><li>Flexibility in schedule and generous paid vacation (available immediately after start date)</li>
</ul><ul><li>AD+D and Life Insurance</li>
</ul>
At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102642</div>

Senior Autonomy Systems Engineer (Data / Cloud / Mapping)

Bayantech

<div>
 
 Job Description :
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI agents capable of performing autonomous tasks.
 </li>
 <li>
 Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).
 </li>
 <li>
 Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability
 </li>
 <li>
 Implement communication between agents using agent orchestration frameworks.
 </li>
 <li>
 Automate workflows for sales, project management, accounting, and localization.
 </li>
 <li>
 Collaborate with backend and frontend teams to integrate AI services.
 </li>
 <li>
 Conduct prompt engineering and evaluation of model outputs.
 </li>
 <li>
 Ensure the scalability and performance of AI systems in production environments.
 
 
 
 </li>
 </ul>
 
 Job Requirement :
 
 
 
 <ul>
 <li>
 1+ years of experience in AI/ML engineering or applied NLP.
 </li>
 <li>
 Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.
 </li>
 <li>
 Solid Python skills; familiarity with FastAPI or Flask is a plus.
 </li>
 <li>
 Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
 </li>
 <li>
 Experience deploying models using Docker or cloud environments.
 </li>
 <li>
 Understanding of multi-agent systems and conversational workflows.
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices.
 
 </li>
 </ul>
</div>

AI Engineer (Hybrid)

BayanTech

<div><div>Job Description :
 
 
<ul><li>Design, develop, and deploy AI agents capable of performing autonomous tasks.</li></ul></div><ul><li>Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).</li><li>Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability</li><li>Implement communication between agents using agent orchestration frameworks.</li><li>Automate workflows for sales, project management, accounting, and localization.</li><li>Collaborate with backend and frontend teams to integrate AI services.</li><li>Conduct prompt engineering and evaluation of model outputs.</li><li>Ensure the scalability and performance of AI systems in production environments.</li></ul> 

Job Requirement : 
 
<ul><li>1+ years of experience in AI/ML engineering or applied NLP.</li><li>Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.</li><li>Solid Python skills; familiarity with FastAPI or Flask is a plus.</li><li>Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).</li><li>Experience deploying models using Docker or cloud environments.</li><li>Understanding of multi-agent systems and conversational workflows.</li><li>Familiarity with version control (Git) and CI/CD practices.</li></ul></div>

AI Engineer

Booz Allen Hamilton

<div>Agentic AI Engineer
The Opportunity: 
We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment. 
 
What You'll Work On:<ul><li>
Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.</li><li>
Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.</li><li>
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.</li><li>
Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.</li><li>
Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
4+ years of experience in software development</li><li>
3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks</li><li>
3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex</li><li>
3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use</li><li>
Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph</li><li>
Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix</li><li>
Knowledge of modern software design patterns, including microservice design or edge computing</li><li>
Ability to adapt in a rapidly changing environment and navigate ambiguity</li><li>
TS/SCI clearance with a polygraph</li><li>
Bachelor&rsquo;s degree</li></ul>
Nice If You Have:<ul><li>
Experience deploying agentic systems in a production environment</li><li>
Experience deploying agents on edge devices such as Android or local models</li><li>
Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results</li><li>
Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM</li><li>
Experience engineering AI capabilities in on‑premise or multi‑classification environments</li><li>
Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development</li><li>
Master&rsquo;s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Agentic AI Engineer

<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, transform operations and protect organizations' most important assets: their workforce.
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 We are looking for a Autonomous Vehicle Operator to operate SteerAI&rsquo;s unmanned ground vehicle platforms during operational trial campaigns. This hands-on role involves operating vehicles through the Command and Control (C2) system and Fleet Management System (FMS), monitoring autonomous missions, supporting test execution, and performing field-level vehicle preparation
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Vehicle Operation:
 
 Operate Avs and other robots through the OCU/C2/FMS interface and remote control during tests and trials. Monitor autonomous mission execution and intervene when required, following established safety protocols.
 </li>
 <li>
 
 Pre-Mission Preparation:
 
 Execute field deployment checklists, run system health checks, verify sensor functionality, and confirm communication links. Ensure vehicles are trial-ready prior to each mission run.
 </li>
 <li>
 
 Real-Time Monitoring and Intervention:
 
 Monitor vehicle telemetry, autonomy state, and environmental conditions during missions. Execute emergency procedures (e-stop, return-to-base) when safety thresholds are reached.
 </li>
 <li>
 
 Data Collection and Instrumentation:
 
 Position and configure telemetry equipment, manage onboard recording systems, and verify data integrity post-mission. Support the Field Test Engineer in executing instrumentation plans and validating that data capture meets trial requirements.
 </li>
 <li>
 
 Maintenance and Troubleshooting:
 
 Perform field maintenance, troubleshoot hardware and software issues, and escalate technical problems to the engineering team. Maintain vehicle readiness between trial runs.
 </li>
 <li>
 
 Test Execution Support:
 
 Assist the Field Test Engineer with scenario setup, adherence to test procedures, and documentation of mission observations. Be prepared to take on basic test coordination duties when required, including running pre-briefed scenarios and recording results against success criteria.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Technical diploma or bachelor&rsquo;s degree in Robotics, Mechatronics, Electrical Engineering, Systems Engineering, or related field.
 </li>
 <li>
 4+ Experience operating unmanned ground or aerial vehicles, robotic systems, or remote-controlled platforms.
 </li>
 <li>
 Familiarity with autonomous vehicle systems, sensor suites (cameras, GNSS, lidar), and communication systems.
 </li>
 <li>
 Comfortable working in outdoor field environments in various weather conditions.
 </li>
 <li>
 Methodical approach to checklists, procedures, and safety protocols.
 </li>
 <li>
 Troubleshooting skills for electromechanical and software systems.
 </li>
 <li>
 Exposure to structured test procedures, checklists, or test and evaluation frameworks.
 </li>
 <li>
 Ability to document observations, log test results, and contribute to post-mission reporting.
 </li>
 <li>
 Valid driver&rsquo;s license.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 
 
 
 
 We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.
 
 
 If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!
 
</div>

Autonomous Vehicle Operator , SteerAI

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