autonomous systems engineer

General Dynamics Mission Systems

<div>Basic Qualifications :
<div>
Bachelor&rsquo;s degree in Mechanical Engineering, or a related Science, Engineering or Mathematics field.</div><div></div><div><b><br>
CLEARANCE REQUIREMENTS:</b> [Department of Defense Secret security clearance is preferred at time of hire.] Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.</div>
Responsibilities for this Position:
<div><b>
ROLE AND POSITION OBJECTIVES:</b></div><div>
As a Mechanical Design Engineer for the Autonomous Maritime Platforms Business, you&rsquo;ll be a member of a cross functional team responsible for the design and development of advanced autonomous subsea systems and vehicles. We are looking for a dynamic individual to support our mission of delivering cutting edge solutions to our valued customers.</div><div></div><div><br>
We encourage you to apply if you have any of these preferred skills or experiences:</div><ul><li>
Mechanical Engineering Design</li><li>
Proficiency with SolidWorks MCAD and PTC Windchill Software</li><li>
Engineering background in the Undersea Domain</li></ul><div></div><div><b><br>
What sets you apart:</b></div><ul><li>
Knowledge of autonomous/unmanned undersea vehicle (AUV/UUV) technologies, principles, theories, and concepts</li><li>
Hands-on experience assembling prototype systems</li><li>
Working knowledge of Geometric Dimensioning and Tolerancing (GD&amp;T)</li><li>
Creative thinker ready to design and develop innovative solutions from conception to production</li><li>
Commitment to ongoing professional development for yourself and others</li></ul><div></div><div><b><br>
Our Commitment to You:</b></div><ul><li>
An exciting career path with opportunities for continuous learning and development.
</li><li>Research oriented work, alongside award winning teams developing practical solutions for our nation&rsquo;s security</li><li>
Flexible schedules with every other Friday off work, if desired (9/80 schedule)</li><li>
Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health &amp; wellness programs, employee resource and social groups, and more</li><li>
See more at gdmissionsystems.com/careers/why-work-for-us/benefits</li></ul><div></div><div><b><br>
Workplace Options:</b></div><div>
This position is fully on-site.</div><div>
While on-site, you will be a part of the Quincy, MA facility [https://gdmissionsystems.com/about-us/major-locations/quincy].</div><div></div><div><br>
#LI-Hybrid</div>
Salary Note: This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range: USD $77,843.00 - USD $86,358.00 /Yr. Company Overview:
<div>
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!</div><div><br>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div>

Mechanical Engineer

Printerpix

<div><div>Printerpix is a rapidly expanding e-commerce leader in online photo printing and personalized gifting. We're growing our team aggressively as we launch into new markets and marketing channels across the globe. This is a unique opportunity to join a high-velocity environment where you'll quickly gain significant responsibility and accelerate your career. At Printerpix, we help people celebrate life's most cherished moments, from custom blankets to personalized photo books, bringing joy through every creation.<br>
</div><div><b>
Role Summary:</b></div><div>
We&rsquo;re looking for an ambitious AI Agent Systems Engineer to join our elite squad of builders. This isn't a role for someone who just wants to write scripts; it&rsquo;s for a foundational expert ready to design and deploy intelligent, autonomous agents that drive real-world e-commerce actions. You&rsquo;ll work in a high-intensity, AI-native environment where shipping fast and building for reliability are the top priorities.<br>
</div><div><b>
What You&rsquo;ll Build:</b></div><ul><li>
As our AI Agent Systems Engineer, you will move beyond simple chat interfaces to build agents that execute:</li><li>
Autonomous E-commerce Workflows: Architect agents that dont just answer questions, but use toolsets to modify orders, resolve complex logistics issues, and interact directly with our core APIs.</li><li>
High-Velocity Marketing Agents: Develop intelligent systems to autonomously manage and optimize digital advertising spend, adjusting bids and creative targeting based on real-time performance.</li><li>
Agentic Personalization: Implement frameworks that reason through customer behavior and real-time event data to suggest deeply personalized gifting experiences.</li><li>
Foundational AI Orchestration: Work with the team to establish robust agentic infrastructure, ensuring multi-step workflows are scalable, observable, and high-performing.</li></ul><div><br>
<b>
Who You Are:</b></div><ul><li>
A High-Velocity Python Developer: You write clean, production-grade Python. You aren't just a coder; you're a system designer who understands how AI fits into a larger architecture.</li><li>
Continuous Learner &amp; AI-Native: You are always following new developments in the AI space (models, frameworks, research) to understand how to leverage the latest tech to ship 10x faster. You are likely a power user of Cursor and Claude Code.</li><li>
Agent Architect: You have a strong grasp of frameworks like LangGraph, CrewAI, or LangChain. You understand how to build multi-agent systems that can reason, act, and iterate through complex tasks.</li><li>
Ambitious &amp; Competitive: You want to be surrounded by other young, hungry engineers. You thrive in an environment where your skills are constantly pushed by your peers and the cutting-edge tech you use.</li><li>
Outcome Obsessed: You understand that &quot;demo-grade&quot; isn't enough. You care about prompt engineering, guardrails, and building agents that perform consistently in a production environment.</li></ul><div></div><div><b><br>
The Tech Stack &amp; Tools:</b></div><ul><li>
Languages: Python (Clean, efficient, scalable).</li><li>
Orchestration: LangGraph, CrewAI, LangChain.</li><li>
Development: Cursor, Claude Code, GitHub Copilot.</li><li>
Deployment: Docker, Railway, Vercel, and modern CI/CD pipelines.</li></ul><div></div><div><b><br>
Why This Role?</b></div><ul><li>
Elite Peer Group: Join a team of ambitious engineers using the world&rsquo;s most advanced AI tools to solve complex problems. You&rsquo;ll learn as much as you contribute.</li><li>
Total Ownership: From day one, you own your projects. You&rsquo;ll define the strategy and architecture for AI agents that reach millions of customers globally.</li><li>
Accelerated Career Path: This is a &quot;ground floor&quot; opportunity. In a high-growth environment like Printerpix, your impact is visible, rewarded, and directly tied to the company&rsquo;s global expansion.</li></ul></div><div></div>

AI Agent Systems Engineer

NVIDIA

<div><div><div>At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles. Our strategy has evolved from AI 1.0 &mdash; building a driver from scratch &mdash; to AI 2.0 &mdash; teaching an intelligent agent to drive. This next phase leverages LLMs, VLMs, and VLAs to bring unprecedented reasoning, planning capabilities, and interactivity with the driving system to autonomous vehicles and general robotics. Let&rsquo;s build the future of autonomy&mdash;together!</div></div><div></div><div><div><div><div><div><div><div><div><div><div>
What You&rsquo;ll Be Doing:</div><ul><li><div>
Design and train innovative large-scale models&mdash;including generative, imitation, and reinforcement learning&mdash;to improve the planning and reasoning capabilities of our driving systems.</div></li><li><div>
Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.</div></li><li><div>
Explore novel data generation and collection strategies to improve diversity and quality of training datasets.</div></li><li><div>
Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.</div></li><li><div>
Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.</div></li></ul><div></div><div>
What We Need to See:</div><ul><li><div>
Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.</div></li><li><div>
Deep understanding of modern deep learning architectures and optimization techniques.</div></li><li><div>
Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.</div></li><li><div>
Strong programming skills in Python and proficiency with major deep learning frameworks.</div></li><li><div>
Familiarity with C++ for model deployment and integration in safety-critical systems.</div></li><li><div>
Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related field.</div></li></ul><div></div><div>
Ways to Stand Out from the Crowd:</div><ul><li><div>
Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.</div></li><li><div>
Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.</div></li><li><div>
Deep understanding of behavior and motion planning in real-world AV applications.</div></li><li><div>
Experience building and training large-scale datasets and models.</div></li><li><div>
Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment.</div></li></ul></div></div></div></div></div></div></div></div></div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 23, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.<div></div>
#deeplearning</div>

Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

<div><div><b>About Printerpix:</b><br>
</div><div>
Printerpix is a fast-growing e-commerce innovator, revolutionizing the online photo printing and personalized gifting sector. We believe in celebrating life's milestones and everyday joys, from custom photo blankets to cherished photobooks. As we rapidly expand into new marketing channels and global markets, our team is growing exponentially. This is your chance to join a dynamic, results-driven organization where your contributions directly impact millions of customers worldwide, offering unparalleled opportunities to take on significant responsibility and accelerate your career trajectory.</div><div><br>
<b>
Role Summary:</b><br>
</div><div>
As our Mid-Level AI Agent Systems Engineer, you will be instrumental in designing, building, and deploying autonomous AI agents that transform our e-commerce operations. This isn't about wrapping LLM APIs; you'll be engineering intelligent systems that execute complex workflows, becoming true AI teammates within Printerpix, directly impacting customer experience and operational efficiency.</div><div><br>
<b>
What You'll Build:</b><br>
</div><div>
You'll be at the forefront of architecting and deploying production-grade AI agents that operate across our e-commerce platforms, internal tools, and customer touchpoints. This includes, but is not limited to:<br>
</div><ul><li><b>
Autonomous E-commerce Workflows: </b>Developing agents that manage personalized product recommendations, automate order processing, handle complex customer service inquiries beyond simple chatbots, and orchestrate dynamic marketing campaigns.</li><li><b>
Internal Operational Automation: </b>Building agents that streamline supply chain logistics, optimize inventory management, and automate content creation or design variations for our personalized products.</li><li><b>
Intelligent Data Agents:</b> Crafting systems that interact with various databases and APIs to gather, analyze, and act upon insights, providing real-time intelligence for business decisions.</li><li><b>
Production-Grade Agentic Systems: </b>Focusing on agent autonomy, reliability, and security, ensuring these agents can perform sophisticated, multi-step tasks across diverse enterprise systems and external APIs.</li></ul><div><br>
<b>
Your First 90 Days:</b></div><ul><li><b>
Week 1: </b>Immerse yourself in Printerpix's core e-commerce platform and existing data infrastructure. Meet the broader engineering, marketing, and operations teams to understand key pain points and opportunities for AI agent intervention. Set up your development environment.</li><li><b>
Month 1: </b>Identify a high-impact internal workflow that can be partially or fully automated by an AI agent. You'll design the architecture for this pilot agent, demonstrating an initial proof-of-concept. Begin collaborating with stakeholders to refine requirements and integrate initial data sources.</li><li><b>
Month 3:</b> Deploy your first production-grade internal AI agent, demonstrating measurable improvements (e.g., reduced manual effort, improved response times, increased data accuracy). Present your findings to leadership and outline the roadmap for scaling this agent and initiating development on a customer-facing agent.</li></ul><div><br>
<b>
What We're Looking For:</b></div><ul><li><b>
Professional Experience:</b> 2-5 years of hands-on experience in software engineering, machine learning, or AI systems development, with a specific focus on agentic systems or complex AI integrations.</li><li><b>
Python Proficiency:</b> Expert-level proficiency in Python, utilized for building robust, scalable AI agent systems, orchestrating complex workflows, and developing efficient data pipelines.</li><li><b>
LLM Architectures &amp; Prompt Engineering:</b> Deep theoretical and practical understanding of Large Language Model (LLM) architectures. Proven ability to apply advanced prompt engineering techniques, including few-shot learning, chain-of-thought prompting, and self-correction mechanisms, to maximize agent performance and reliability.</li><li><b>
System Design &amp; Distributed Systems:</b> Demonstrated capability to design, architect, and implement end-to-end agentic systems, ensuring high availability, fault tolerance, and scalability in a distributed environment, handling thousands of concurrent interactions.</li><li><b>
Machine Learning Fundamentals: </b>Solid grasp of core machine learning principles, enabling you to integrate custom ML models, fine-tune existing ones, and evaluate agent performance effectively.</li><li><b>
RESTful APIs:</b> Strong experience in designing, building, and consuming RESTful APIs, facilitating seamless integration of AI agents with our e-commerce platforms, internal services, and third-party tools.</li><li><b>
AWS Expertise:</b> Hands-on experience with key AWS services (e.g., EC2, Lambda, S3, RDS, EKS, SageMaker) for deploying, monitoring, and managing secure, high-performance AI agent infrastructure.</li><li><b>
Agent Orchestration Frameworks:</b> Practical expertise with AI orchestration frameworks like LangChain (or similar, such as LlamaIndex or CrewAI) for constructing and managing complex, multi-step agentic workflows and tooling.</li><li><b>
Retrieval Augmented Generation (RAG):</b> Proven experience implementing and optimizing RAG pipelines to ground AI agents with proprietary e-commerce data, ensuring accurate, context-aware, and up-to-date responses.</li><li><b>
FastAPI Development:</b> Proficient in developing high-performance, asynchronous API services using FastAPI to serve agent endpoints and integrate with front-end applications or other microservices.</li></ul><div><br>
<b>
Nice-to-Have:</b></div><ul><li><b>
MLOps Practices: </b>Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow) for managing the complete lifecycle of AI agents, from experimentation to production deployment and monitoring.</li><li><b>
Vector Databases:</b> Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) for efficient semantic search and retrieval in RAG architectures.</li><li><b>
Container Orchestration:</b> Experience with Kubernetes for orchestrating and managing containerized AI agent deployments at scale.</li><li><b>
Streaming Platforms:</b> Exposure to real-time data streaming platforms like Kafka for building event-driven agent architectures and processing high volumes of data.</li><li><b>
Reinforcement Learning: </b>Understanding of reinforcement learning concepts or their application in optimizing agent behavior and decision-making over time.</li></ul><div><br>
<b>
Why This Role:</b></div><div><br>
This is a unique opportunity for a Mid-Level AI Agent Systems Engineer to define and build the future of AI within a rapidly expanding e-commerce brand. You won't be a cog in a large machine; you'll be a foundational engineer shaping how AI agents are architected, orchestrated, and trusted across our global operations, impacting millions of customers. You'll gain unparalleled ownership, directly influencing technology choices and strategic direction for AI at Printerpix. The scope for rapid career acceleration into senior leadership and the chance to build a truly impactful portfolio of agentic systems from the ground up far exceeds typical mid-level roles. If you're looking to move beyond theoretical AI to deploying real-world agents that drive tangible business outcomes, this is your chance to shine.</div></div>

AI Agent Systems Engineer - Mid Level

Nuro

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world&rsquo;s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver&trade;, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale&mdash;empowering a safer, richer, and more connected future.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <em>
  Our software organization is growing and we are looking for talented engineers to join our autonomy team. As an autonomy engineer, you will work on challenging problems alongside a world-class team with a common real passion for advancing robotics to improve the human experience.
  <br/>
  <br/>
 </em>
 <strong>
  About The Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solve real world autonomy problems in one or more of the following areas:
  </li>
  <ul>
   <li>
    Machine learning and computer vision, including;
   </li>
   <ul>
    <li>
     Perception tasks like detection, segmentation, tracking, classification and prediction across camera, lidar, radar and thermal data
    </li>
    <li>
     Behavior tasks like prediction and planning
    </li>
    <li>
     Techniques that allow us to scale data training, produce robust models and deploy them on the robot including active learning, semi- and self- supervised learning, model compression and architecture search, generative modeling
    </li>
   </ul>
   <li>
    Robotics including system architecture, state estimation, multi-object target tracking and 3D reconstruction
   </li>
   <li>
    Tools and processes to evaluate our system to make sure it is safe for deployment
   </li>
  </ul>
  <li>
   Design novel algorithms and produce robust, well-tested C++ software
  </li>
  <li>
   Work fast and smart, and collaborate well with other awesome team members
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are a recent graduate or graduating soon (BS, MS or Phd) with focus on one or more of the areas listed above
  </li>
  <li>
   You are a skilled algorithm designer with strong problem solving
  </li>
  <li>
   You are a talented software developer ideally with experience in C++/Python
  </li>
  <li>
   You have experience working with machine learning or autonomous systems
  </li>
  <li>
   You have a knack and real passion for searching and solving hard problems
  </li>
  <li>
   You are passionate about accelerating the benefits of robotics for everyday life
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $145,000 and $219,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
  <br/>
  <br/>
 </em>
 <em>
  At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
 </em>
</div>


Software Engineer, Autonomy-New Grad

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><p><b>
ABOUT THE JOB:</b></p>
<p>
AI is the future operating system of Anduril, and we need creative and enthusiastic AI engineers to help us realize that vision. We're seeking a highly motivated Senior Software Engineer to join a scrappy team dedicated to the continued development of our internal AI ecosystem, including tooling for autonomous coding and agentic automation. To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.</p>
<p><b>
WHAT YOU'LL DO:</b></p>
<ul>
<li>Propose, prototype, and deploy LLM-based agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field</li>
<li>Work cross-functionally with different business lines across Anduril to help discover and scope new solutions</li>
<li>Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.</li>
<li>Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications)</li>
</ul>
<p><b>REQUIRED QUALIFICATIONS:</b></p>
<ul>
<li>An AI mindset; enthusiasm for emerging AI technologies and their practical implementations</li>
<li>Creative problem-solving skills with an ability to simplify workflows into modular, reusable automation components</li>
<li>Raw intellectual horsepower</li>
<li>1-2 years of experience taking AI systems into production or 2-4 years of experience with traditional ML</li>
<li>Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree</li>
<li>Experience using and optimizing AI coding assistants in a collaborative production environment</li>
<li>Strong stakeholder and cross-functional communication skills; able to gather workflow requirements and convert them into technical automation.</li>
<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>
</ul>
<p><b>PREFERRED QUALIFICATIONS:</b></p>
<ul>
<li>Practical experience enabling agents, skills, MCP, and other emerging AI technologies in professional environment</li>
<li>Experience with process automation, event-driven architecture, and a modular / &quot;unix daemon&quot; mindset on software</li>
<li>Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes</li>
<li>Familiarity with AWS</li>
<li>Use your cover letter to demonstrate how and why you're enthusiastic about AI</li></ul><p></p><div><p><br>
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>
<p><b>
Healthcare Benefits</b></p>
<ul>
<li><b>US Roles:</b> Comprehensive medical, dental, and vision plans at little to no cost to you.</li>
<li><b>UK &amp; AUS Roles:</b> We cover full cost of medical insurance premiums for you and your dependents.</li>
<li><b>IE Roles:</b> We offer an annual contribution toward your private health insurance for you and your dependents.</li>
</ul>
<p><b>Additional Benefits</b></p>
<ul>
<li><b>Income Protection</b>: Anduril covers life and disability insurance for all employees.</li>
<li><b>Generous time off</b>: Highly competitive PTO plans with a holiday hiatus in December. Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>
<li><b>Family Planning &amp; Parenting Support:</b> Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>
<li><b>Mental Health Resources:</b> Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.</li>
<li><b>Professional Development:</b> Annual reimbursement for professional development</li>
<li><b>Commuter Benefits:</b> Company-funded commuter benefits based on your region.</li>
<li><b>Relocation Assistance:</b> Available depending on role eligibility.</li>
</ul>
<p><b>Retirement Savings Plan</b></p>
<ul>
<li><b>US Roles:</b> Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>
<li><b>UK &amp; IE Roles:</b> Pension plan with employer match.</li>
<li><b>AUS Roles:</b> Superannuation plan.</li>
</ul>
<p>The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.</p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p></div></div>

Senior LLM Software Engineer

Renu Robotics

<p></p><div><p><b>Job Title: Lead Mechanical Engineer &ndash; Autonomous Robotics</b></p><p><b>
Location: San Antonio, Texas</b><br>
<b>Department: Engineering</b><br>
<b>Reports To: Hardware Engineering Manager</b><br>
<b>Job Type: Full-Time</b></p><p><b>
About Renu Robotics:</b></p><p><b>
Renu Robotics is a leader in autonomous technology for vegetation management. We build all-electric, autonomous machines that help maintain large-scale sites safely, efficiently, and sustainably. Our culture values teamwork, quality, safety, and continuous improvement. At Renu Robotics, we believe: No one wins unless everyone wins.</b></p><p><b>
Job Summary:</b></p><p><b>
We are seeking a Lead Mechanical Engineer to drive the design, development, and integration of industry-leading cutting-edge autonomous robotic systems. This role will oversee mechanical design efforts across multiple projects, lead a team of engineers, and collaborate cross-functionally to deliver robust, scalable, and high-performance autonomous systems.</b></p><p><b>
Key Responsibilities:</b></p><ul><li><b>
Lead the mechanical design,development,and testingof robotic platforms including chassis, actuators, enclosures, and integration of sensors and electronics.</b></li><li><b>
Own the full product development lifecycle from concept tocommercialization, including prototyping,lab and fieldtesting, anddesigniteration.</b></li><li><b>
Lead design reviews,DFMEAs,documentation efforts,and change releases.</b></li><li><b>
Collaborate with electrical, software, and systems engineers to ensure mechanical and system-level integration.</b></li><li><b>
Apply DFM (Design for Manufacturing) and DFA (Design for Assembly) principles for efficient production.</b></li><li><b>
Interface with vendors and suppliers forcomponentsourcing,validation,prototyping, and manufacturing support.</b></li><li><b>
Ensurescompliance withindustry-standardsafety, reliability, andregulatoryprinciples.</b></li><li><b>
Performsdesignverification andvalidation,and mechanical analysis (thermal, stress, dynamics).</b></li><li><b>
Develop and execute test plans for mechanical systems including field validation.</b></li><li><b>
Mentor junior engineers andestablishbest practices in mechanical design and systems engineering.</b></li></ul><p><b>
Qualifications:</b></p><ul><li><b>
Bachelor's degree in mechanical engineeringor related field from an accredited university.</b><br>
<b>MS in Mechanical Engineering (preferred).</b></li><li><b>
7+ years of mechanical design experience, preferably in robotics, automation, or complex mechatronic systems.</b></li><li><b>
StrongproficiencyinSolidWorksandSolidworksPDM,3D CADmodeling,and mechanical simulation tools(Ansys, FEA, CFD, tolerance stack analysis).</b></li><li><b>
Understand and apply GD&amp;T standards.</b></li><li><b>
Solid grasp of EMI/EMC concepts including system level grounding and shielding.</b></li><li><b>
Designing forharsh environments (temperature, shock, vibration).</b></li><li><b>
Knowledge of CSA Class1, Div2 ,CE,anUL(preferred).</b></li><li><b>
Demonstrabletrack recordofthe delivery of commercial products.</b></li><li><b>
Hands-on experience with prototyping tools (e.g., 3D printing, CNC, sheet metal fabrication).</b></li><li><b>
Deep understanding of materialselection, structural design, thermal management, and kinematics.</b></li><li><b>
Experiencewithelectro-mechanicalcomponents such as actuators,stepperand drive motors,gearboxes, sensors, and embedded systems.</b></li><li><b>
Excellent communication, leadership, and cross-functional collaboration skills.</b></li><li><b>
Experience working within ISO 9001:2015 Quality Management System Framework and other regulated frameworks.</b></li><li><b>
Experience in commercial product/system delivery in harsh environments.</b></li><li><b>
Experience with ERP systems (i.e.SAP, NetSuite),andQMS systems (i.e.Arena, Adept,MasterControl).</b></li><li><b>
Experience leading engineering projects and teams.</b></li></ul><p><b>
Preferred Experience:</b></p><ul><li><b>
Autonomous or semi-autonomous mobile robots (e.g., drones, AMRs, humanoids).</b></li><li><b>
Design for rugged environments (military, industrial, outdoor).</b></li><li><b>
Familiarity with robotics standards (ISO 10218, R15.06, etc.).</b></li><li><b>
Experience with agile development and rapid prototyping environments is a plus</b></li><li><b>
Working knowledge of motion control, embedded systems, and system integration.</b></li><li><b>
Experience in a manufacturingenvironment.</b></li><li><b>
Experience ensuring product quality including standards, statistical methods,and testing.</b></li></ul><p><b>
What We Offer:</b></p><ul><li><b>
Opportunity to work on breakthrough technologies in robotics.</b></li><li><b>
Be part of a global business.</b></li><li><b>
Collaborative and mission-driven team culture.</b></li><li><b>
Competitive compensation and benefits package.</b></li><li><b>
Flexible work environment.</b></li></ul></div>

Lead Mechanical Engineer

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