autonomous systems engineer

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES. NEW YORK CITY, NEW YORK, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SYSTEMS ENGINEERING</p>
<p>3919</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who&rsquo;ll help us maintain strong teamwork and are passionate about driving results.</p>
<p>
In this hybrid role, you will report to a Senior Staff Test Engineer, Driving Behaviors.</p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Develop metrics and models to evaluate and enhance the performance, safety and scalability of our self driving system</li>
<li>Evaluate new models or methods to assess their performance and applicability to problems</li>
<li>Find new ways to gather the required data needed to improve our metrics and models</li>
<li>Communicate benefits and limitations of new models and metrics to partner teams</li>
<li>Integrate and deploy metrics and models on fleet-wide data</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>5+ years of experience in Software Engineering for robotics, autonomous vehicles, or other complex hardware/software systems</li>
<li>Experience testing such systems at all levels from unit tests to comprehensive end-to-end test campaigns.</li>
<li>Solid understanding of physics, geometry, and dynamics</li>
<li>Proficiency in C++ and Python</li>
<li>Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise</li>
<li>Experience training new applications on existing ML architectures and improving existing applications</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>8+ years industry experience</li>
<li>Proficiency in SQL</li>
<li>Experience building and testing autonomous systems</li>
<li>Experience using LLMs and VLMs in production environments</li></ul><p></p><div><div><br>
<div>
<p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$175,000&mdash;$215,000 USD</div></div></div></div></div></div></div>

Software Engineer, Driving Behaviors

GovCIO

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 GovCIO is currently hiring for AI/ML Engineer develops and integrates advanced machine learning and large language model systems to support defense simulation, data fusion, and autonomous decision-support capabilities. This role builds scalable AI pipelines and agent-based frameworks that enable secure, intelligent, and interoperable mission environments.. This position will be located in Colorado Springs, CO and will be a onsite position.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Responsible for designing and implementing advanced artificial intelligence and machine learning solutions that support complex defense simulation and data integration environments. This role focuses on building scalable AI architectures, integrating heterogeneous data sources, and enabling autonomous and agent-based systems within secure, sandboxed platforms to support mission-driven analysis and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Develop and maintain automated data pipelines to ingest, parse, and integrate non-standard defense data, intelligence feeds, and weapon system profiles.
  </li>
  <li>
   Design, implement, and fine-tune large language models (LLMs) and agentic AI frameworks using modern programming languages such as Python and C++.
  </li>
  <li>
   Build and manage APIs and integration layers to connect disparate AI/ML services into unified simulation and analysis environments.
  </li>
  <li>
   Support the development of autonomous and semi-autonomous agent systems for decision support and simulation use cases.
  </li>
  <li>
   Advise on the architecture and implementation of secure sandboxed environments for testing, validation, and deployment of AI solutions.
  </li>
  <li>
   Collaborate with government and technical stakeholders to ensure AI systems meet operational, security, and performance requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Bachelor's with 12+ years (or commensurate experience)
 <br/>
 <br/>
 <strong>
  Required Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clearance Required: None
  </li>
  <li>
   Demonstrated ability to design and implement automated data pipelines for complex, heterogeneous defense or intelligence datasets.
  </li>
  <li>
   Experience developing and fine-tuning large language models (LLMs) and building agent-based AI systems.
  </li>
  <li>
   Proficiency in programming languages such as Python and C++ for AI/ML development and system integration.
  </li>
  <li>
   Experience designing and implementing APIs for integration of AI/ML services and distributed systems.
  </li>
  <li>
   Knowledge of secure system design, including sandboxed environments for testing and validation of AI solutions.
  </li>
  <li>
   Bachelor&rsquo;s degree in computer science or closely related field with a focus on artificial intelligence, machine learning, or software engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in defense, intelligence, or government environments.
  </li>
  <li>
   Background in autonomous systems, reinforcement learning, or multi-agent systems.
  </li>
  <li>
   Experience integrating AI/ML models into simulation, wargaming, or Modeling &amp; Simulation (M&amp;S) environments.
  </li>
  <li>
   Familiarity with MLOps practices, model deployment, and scalable cloud-based AI infrastructure.
  </li>
  <li>
   Experience handling structured and unstructured data at scale in mission-critical environments.
  </li>
  <li>
   Strong understanding of AI safety, model evaluation, and validation in constrained or classified systems.
   <br/>
   <br/>
  </li>
 </ul>
 #nss #dl #ar #tk #rt #nss #tm #jp
 <br/>
 <br/>
 Posted Salary Range: USD $175,000.00 - USD $220,000.00 /Yr.
</div>


AI/ML Engineer

Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b> College of Engineering</b></div>
</div><div></div><div><div>Division<b>COE&amp;AC</b></div>
</div></div><div></div><div><div><div>Job Family<b>Faculty-Academic</b></div>
</div><div></div><div><div>Reports to<b>Vice Dean for Research and Graduate Studies</b></div>
</div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><p>The Research Engineer supports research, development, and technical implementation activities in robotics, drones, and autonomous systems. The role involves contributing to system integration, prototype development, testing, and deployment of engineering solutions within research projects and academic programs. The Research Engineer provides technical and operational support for laboratories, research initiatives, and student projects, while collaborating with faculty, researchers, and industry partners to deliver funded projects and departmental objectives. The position also contributes to laboratory operations, student mentoring, and the advancement of applied research and innovation activities in relevant engineering fields.</p>
<h4 class="jobSectionHeader"><b>Primary Duties &amp; Responsibilities</b></h4>
<ul><li>Provides laboratory management and technical support by maintaining engineering laboratories, equipment, software, and technical resources to ensure their effective operation and availability for academic and research activities.</li>
<li>Supports academic programs by assisting faculty members with laboratory-based courses, practical exercises, demonstrations, and curriculum activities in robotics, drones, autonomous systems, and related engineering fields.</li>
<li>Participates in project implementation and system integration by assembling, configuring, testing, validating, and deploying hardware and software solutions in accordance with project requirements and technical specifications.</li>
<li>Conducts research and development activities by contributing to prototype design, experimentation, data collection, performance evaluation, and technical documentation for funded and departmental research projects.</li>
<li>Guides and mentors students in the development of capstone, competition, and research projects by providing technical expertise and supporting project planning, execution, and validation activities.</li>
<li>Maintains laboratory equipment and technical assets by performing routine inspections, troubleshooting issues, coordinating repairs, and ensuring operational readiness of facilities and resources.</li>
<li>Prepares and maintains technical documentation, project records, laboratory inventories, and operational reports to support research activities, project tracking, and compliance requirements.</li>
<li>Ensures compliance with laboratory safety procedures and operational standards by monitoring practices, conducting inspections, and promoting a safe working environment in engineering laboratories and the Automotive Center.</li>
<li>Collaborates with faculty, researchers, and external partners to support the planning, execution, and coordination of funded research projects and engineering initiatives.
</li><li>Supports procurement and resource planning by identifying laboratory and project requirements, preparing technical specifications, and coordinating the acquisition of equipment, materials, and software tools.</li>
<li>Contributes to continuous improvement of laboratory and research activities by evaluating processes, identifying gaps, and recommending improvements to tools and workflows.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Education &amp; Experience</b></h4>
<ul><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Software Engineering or equivalent from an accredited institute. Master degree is preferable.
</li><li>Certification as Project Management Professional (PMP) by Project Management Institute (Desirable).</li>
<li>Minimum of four (04) years of experience in Electromechanical projects or related fields. For Master degree two years of experience.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Note</b></h4>
<ul><li>Working hours: Eight hours per day, five days a week</li>
<li>Benefits: MBA as per AU policy &ndash; Family insurance</li></ul></div></div><p></p>

Research Engineer - #160626

driveblocks

<div><h4 class="jobSectionHeader"><b>Your Role</b></h4><p>
We are seeking a Solutions &amp; Deployment Engineer to deploy the driveblocks off-road autonomy stack to a broad variety of target vehicle platforms. A core responsibility of this role is to apply, monitor, and benchmark the driveblocks software in customer and internal development vehicles to achieve maximum performance. Planning and conducting investor and customer product demos is a key part of this role.<br>
<br>
As a Solutions &amp; Deployment Engineer, you are responsible for the full journey of our customers &ndash; from drafting the first technical concept to configuring, testing and deploying the software. You ensure that the driveblocks software meets the application requirements in an embedded, real time-critical environment. You ensure high performance and quality through system simulations and software component testing on-site under real-world conditions across multiple domains and countries.</p><h4 class="jobSectionHeader"><b><br>
Your Background</b></h4><p><b>
Must-Have Qualifications</b></p><br>
<ul><li>
Strong analytical skills to quickly understand customer requirements, debug application software, and familiarize with new vehicle and deployment platforms.</li><li>
Hands-on expertise in autonomous vehicles, robotics, or real-time embedded systems, with strong coding skills in C and C++.</li><li>
Experience with dockerized deployments and Linux-based operating systems</li><li>
Ability to work in a fast-paced and dynamic environment with complex technical challenges and requirements.</li><li>
Strong team-player and the ability to communicate complex technology in a clear and straight-forward way to match customer and project expectations.</li><li>
Willingness to travel on short notice to support customer pilots and deployments across domains and countries.</li><li>
Strong system-level thinking and ability to execute feature development in a fast-paced environment</li><li>
Valid German driver's license class B.</li></ul><b>
Nice-to-Have Qualifications</b><br>
<ul><li>
Familiarity with ROS2 or micro-ROS.</li><li>
Familiarity with different embedded compute units including edge accelerators.</li><li>
Experience with modern software engineering tools, including version control, continuous integration and testing as well as cloud-based development processes.</li><li>
Degree in computer science, informatics, engineering or related (Bachelor, Master, or PhD).</li></ul><p></p><h4 class="jobSectionHeader"><b>
About Us</b></h4><p>
driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments.<br>
<br>
Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems.<br>
<br>
From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we&rsquo;d love to hear from you!</p><h4 class="jobSectionHeader"><b><br>
Working at driveblocks</b></h4><p></p><ul><li>
Ownership of your work &ndash; Take responsibility for the full value chain</li><li>
Competitive Compensation &amp; Benefits</li><li>
Participate in driveblocks&rsquo; success via a Virtual Stock Option Plan</li><li>
Flexible working hours</li></ul><p></p><h4 class="jobSectionHeader"><b>
How To Apply</b></h4><p></p><ul><li>
Upload your CV and additional documents directly through our platform</li><li>
Show your unique motivation</li></ul></div><p></p>

Solutions & Deployment Engineer (m/f/d)

Quantum-Systems

<div><p>At Quantum Systems, we develop cutting-edge unmanned aerial systems that redefine autonomous flight for defense and governmental applications. Our flagship platform, <b>Reliant</b>, combines long-endurance VTOL capabilities, advanced onboard AI, and resilient navigation technologies to operate reliably in the world's most demanding environments - including GNSS-denied and electronically contested scenarios.</p><p></p><p>
As a <b>Navigation Engineer (m/f/d)</b>, you will play a key role in developing the navigation and state estimation capabilities that enable Reliant to fly safely, precisely, and autonomously. Working alongside experts in flight control, embedded software, AI, and systems engineering, you will design and optimize advanced navigation algorithms that directly contribute to mission success. From concept development and simulation to flight testing and operational deployment, you will help shape the next generation of resilient autonomous flight technologies.</p><p></p><h4 class="jobSectionHeader"><b><br>
What is your Day to Day Mission:</b></h4><ul><li>
Design, develop, and validate advanced GNSS/INS navigation algorithms, including state estimation, sensor fusion, and fault detection to enable reliable autonomous flight in contested and GNSS-denied environments.</li><li>
Analyze flight test and operational data to identify performance bottlenecks, conduct root-cause analysis, and implement robust algorithmic improvements for mission-critical navigation systems.</li><li>
Develop and continuously improve navigation capabilities by enhancing sensor fusion, localization, and redundancy strategies for complex operational scenarios.</li><li>
Collaborate closely with Flight Control, Embedded Software, AI, Systems Engineering, and Test teams to integrate navigation solutions across the Reliant UAS platform.</li><li>
Participate throughout the complete development lifecycle&mdash;from system architecture and algorithm design to simulation, hardware integration, flight testing, and operational deployment.</li><li>
Characterize, calibrate, and validate navigation sensors to maximize positioning accuracy, robustness, and system resilience.</li><li>
Contribute to the architecture and evolution of the navigation software stack by driving technical decisions, participating in design reviews, and maintaining high software quality standards.</li><li>
Support verification and validation activities, including simulation campaigns, Hardware-in-the-Loop (HIL) testing, flight campaigns, and post-flight performance analysis.</li><li>
Mentor team members through technical discussions, code reviews, and knowledge sharing while promoting engineering best practices.</li></ul><h4 class="jobSectionHeader"><b><br>
What you bring to the team:</b><br>
</h4><ul><li>
M.Sc. or higher in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field.</li><li>
Several years of professional experience developing navigation, localization, or sensor fusion solutions for autonomous systems, robotics, or UAVs.</li><li>
Strong expertise in GNSS/INS integration, state estimation, and nonlinear filtering techniques (e.g., Extended Kalman Filters, Unscented Kalman Filters, Factor Graph Optimization, or SLAM).</li><li>
Deep understanding of inertial navigation, sensor fusion, and autonomous navigation in degraded or GNSS-denied environments.</li><li>
Solid knowledge of fixed-wing and VTOL flight dynamics, flight mechanics, and autonomous flight systems.</li><li>
Strong programming skills in <b>C++</b> and <b>Python</b>; experience with <b>MATLAB/Simulink</b> is required. Experience with <b>Rust</b> is a plus.</li><li>
Experience analyzing flight data and validating navigation performance through simulation and real-world flight testing.</li><li>
Familiarity with embedded Linux environments, Git, and modern software engineering practices.</li><li>
Experience with simulation, Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), or flight testing is highly desirable.</li><li>
Strong analytical and problem-solving skills with the ability to independently drive technical decisions in complex multidisciplinary projects.</li><li>
Excellent written and spoken English</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Why Quantum-Systems:</b></h4><ul><li>
We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.</li><li>
We are industry pioneers who are ambitious, bold, and visionary.
</li><li>We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data.</li><li>
We promise to be your runway for individual and professional growth.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Our benefits:</b></h4><ul><li><b>
Company pension scheme: </b>We support you so that you can already make provisions for later.</li><li><b>
Flexible working hours: </b>With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.</li><li><b>
Mobile Work:</b> If things get a little busy in the office, you have the option to work remotely one flexible day per week to create the right balance.</li><li><b>
Stay active:</b> With EGYM Wellpass, you get access to thousands of fitness and sports facilities &mdash; and of course, we subsidize the membership.</li><li><b>
Bike-Leasing: </b>We support you in staying environmentally mobile and healthy.</li><li><b>
Corporate Benefits: </b>Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.</li><li><b>
Employee events: </b>We not only want to grow together, but also celebrate our successes together.</li><li><b>
Lunch-Card: </b>Be powerful with delicious energy, daily lunch budget is sponsored.</li><li><b>
Company Shuttle:</b> Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday.</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
About us:</b></h4><p>
Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company&rsquo;s range of electric vertical take-off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors.</p><p></p><h4 class="jobSectionHeader"><b><br>
Our commitment:</b></h4><p>
We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success.</p><p>
At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.</p></div>

Navigation Engineer - Reliant (m/f/d)

Nimble

<div>
 <strong>
  About Nimble
  <br/>
  <br/>
 </strong>
 Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We&rsquo;re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We&rsquo;ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world&rsquo;s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world&rsquo;s most legendary robotics company at the most pivotal moment in history, we want to work with you.
 <br/>
 <br/>
 We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; powered by generalist superhumanoids.
 <br/>
 <br/>
 Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford&rsquo;s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
 <br/>
 <br/>
 Let&rsquo;s be legendary.
 <br/>
 <br/>
 Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
 <br/>
 <br/>
 Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
 <br/>
 <br/>
 <strong>
  Why Join Nimble?
  <br/>
  <br/>
 </strong>
 At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
 <br/>
 <br/>
 <strong>
  Nimble's Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Be relentlessly resourceful
 </strong>
 -
 <em>
  Challenge conventions and overcome obstacles.
  <br/>
  <br/>
 </em>
 <strong>
  Be legendary
 </strong>
 -
 <em>
  Be the very best and do work that inspires.
  <br/>
  <br/>
 </em>
 <strong>
  Be humble
 </strong>
 -
 <em>
  Prioritize growth, learning, and doing whatever is needed to further the mission.
  <br/>
  <br/>
 </em>
 <strong>
  Be dependable
 </strong>
 -
 <em>
  Take ownership and deliver with high agency.
  <br/>
  <br/>
 </em>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a Software Engineer III to build the core software powering our next-generation autonomous robots. In this role, you will develop the systems that allow our robots to automate key warehouse functions with high performance and reliability. You will work across robotics and autonomy&mdash;building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations. You&rsquo;ll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve system uptime, performance, and overall intelligence.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement services that integrate external partner software into the Nimble stack, defining clear APIs and contracts.
  </li>
  <li>
   Optimize end-to-end warehouse throughput across Nimble software and partner automation systems.
  </li>
  <li>
   Build fault-tolerant software with well-defined error handling and recovery behavior.
  </li>
  <li>
   Drive measurable improvements in autonomy quality, using data and operational metrics to iterate on task success rate, recovery behavior, and system reliability.
  </li>
  <li>
   Collaborate with hardware engineering to deliver seamless software&ndash;hardware integration for new robot platforms and upgrades.
  </li>
  <li>
   Lead technical design reviews and drive architecture decisions for core subsystems and features.
  </li>
  <li>
   Triage, diagnose, and resolve issues in production robotics systems.
  </li>
  <li>
   Mentor cross-functional engineers and technicians, raising the bar on reliability, testing, and operational excellence.
  </li>
  <li>
   Build and maintain integrations with robot platforms, APIs, services, and data systems
  </li>
  <li>
   Develop fault‑tolerant, fail‑safe robotic software and scalable systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors or Masters in Computer Science, or related field, or equivalent experience
  </li>
  <li>
   2-4 years of experience in production‑level coding in C++, Python, or Rust
  </li>
  <li>
   Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes
  </li>
  <li>
   Demonstrated experience designing scalable systems and leading complex technical projects.
  </li>
  <li>
   Excellent communication skills and ability to collaborate across teams.
  </li>
  <li>
   A proven track record of using analysis to influence high-stakes operational and engineering changes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The pay range for this position at the start of employment is expected to be between $160,000 - $210,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.
 <br/>
 <br/>
 <strong>
  Culture
  <br/>
  <br/>
 </strong>
 We embrace challenges and strive to make the impossible possible each day. We&rsquo;re not in this to do what&rsquo;s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We&rsquo;re ambitious, we&rsquo;re gritty, we&rsquo;re humble and we&rsquo;re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 <br/>
 <br/>
 Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
 <br/>
 <br/>
 <strong>
  Nimble's Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Unlimited Flexible Time Off
  <br/>
  <br/>
 </strong>
 Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
 <br/>
 <br/>
 <strong>
  Health Insurance
  <br/>
  <br/>
 </strong>
 Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
 <br/>
 <br/>
 <strong>
  Paid Parental Leave
  <br/>
  <br/>
 </strong>
 Enjoy paid bonding time following a birth.
 <br/>
 <br/>
 <strong>
  Commuter Benefits
  <br/>
  <br/>
 </strong>
 Take the stress out of commuting with access to fully paid parking spots.
 <br/>
 <br/>
 <strong>
  Referral Bonus
  <br/>
  <br/>
 </strong>
 Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
 <br/>
 <br/>
 <strong>
  401k
  <br/>
  <br/>
 </strong>
 Contribute towards a 401k for retirement planning.
 <br/>
 <br/>
 <strong>
  Equity
  <br/>
  <br/>
 </strong>
 Be an owner in Nimble through our equity program
</div>


Software Engineer III, Robot Throughput

Rockwell Automation

<div><p>Rockwell Automation is a global technology leader focused on helping the world&rsquo;s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
</p><p></p><p>We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that&rsquo;s you we would love to have you join us!
</p><p></p><p>Job Description
</p><p>We are looking for a inventive AI engineer/scientist to help build the next generation of AI-native industrial automation systems powered by latest edge compute platforms.
</p><p></p><p>You will focus on developing intelligent systems capable of real-time learning, reasoning, optimization, and autonomous operation. These systems operate directly within industrial environments, bringing advanced AI capabilities closer to machines, processes, and operational decision making. You will work at the convergence of edge AI, industrial automation, autonomous systems, embedded intelligence, and real-time operational analytics to help define how you design and operate future industrial systems.
</p><p></p><p>This role focuses on redefining industrial automation through AI-native system design. The company embeds intelligence directly at the edge, making it capable of learning, adapting, and operating autonomously in real-world environments. You will work on frontier challenges involving real-time AI, autonomous operation, optimization, and industrial-scale deployment while helping shape the future of intelligent industrial infrastructure.
</p><p></p><p>You will report to the Director AI and have a hybrid work schedule, working from Austin, TX
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Develop AI-native industrial systems capable of:
<ul><li>Real-time reasoning and decision making
</li><li>Adaptive process optimization
</li><li>Autonomous operational behaviors
</li><li>Continuous learning from operational data
</li><li>Intelligent coordination across distributed industrial assets
<br>
</li></ul></li><li>Design and deploy AI solutions on latest edge compute platforms with advanced CPU/GPU acceleration capabilities
<br>
</li><li>Build architectures that combine:
<ul><li>Generative AI and small language models
</li><li>Machine learning and reinforcement learning
</li><li>Optimization and control systems
</li><li>Streaming analytics and event-driven intelligence
</li><li>Distributed and edge-native AI inference
<br>
</li></ul></li><li>Ensure low-latency AI execution directly within industrial environments while balancing performance, reliability, and operational constraints
</li><li>Integrate AI capabilities with industrial automation systems, robotics platforms, sensors, controllers, and operational infrastructure
</li><li>Collaborate with diverse teams spanning AI research, controls engineering, embedded systems, and industrial operations
</li></ul><p></p><p><b>The Essentials - You Will Have:
</b></p><ul><li>Bachelor's Degree in Relevant Field
</li></ul><p></p><p><b>The Preferred - You Might Also Have:
</b></p><ul><li>Typically requires 5+ years relevant experience
</li><li>Background in the following:
<ul><li>Edge AI systems
</li><li>Machine learning systems engineering
</li><li>Autonomous systems
</li><li>Industrial AI
</li><li>Embedded or distributed AI architectures
</li></ul></li><li>Experience developing and deploying AI applications in resource-constrained or real-time environments
</li><li>Software engineering skills in Python and modern AI/ML frameworks
</li><li>Familiarity with:
<ul><li>Edge inference optimization
</li><li>GPU-accelerated computing
</li><li>Streaming and real-time systems
</li><li>Distributed AI architectures
</li><li>Control and optimization systems
</li></ul></li><li>Bridge advanced AI concepts with practical deployment in operational environments
</li><li>Curiosity, creativity, and a passion for building intelligent systems that interact directly with the physical world
</li></ul><p></p><p><b>Bonus Experience
</b></p><ul><li>Industrial automation or control systems
</li><li>Robotics and autonomous platforms
</li><li>Reinforcement learning or adaptive control
</li><li>Time-series analytics and anomaly detection
</li><li>Embedded systems and edge deployment toolchains
</li><li>Digital twins and simulation environments
</li><li>Vision-language or multimodal AI systems
</li><li>Cyber-physical systems and operational technology (OT)
</li></ul><p></p><p><b>What We Offer
</b></p><ul><li>Health Insurance including Medical, Dental and Vision
</li><li>401k
</li><li>Paid Time off
</li><li>Parental and Caregiver Leave
</li><li>Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
</li><li>To learn more about our benefits package, please visit at www.raquickfind.com .
</li></ul><p></p><p><b>This position is part of a job family. Experience will be the determining factor for position level and compensation
</b></p><p></p><p><i>At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
</i></p><p></p><p>#LI-PD1
</p><p>#LI-hybrid
</p><p>#lifeatROK
</p><p></p><p>We are an Equal Opportunity Employer including disability and veterans.
</p><p></p><p>If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
</p><p></p><p>Rockwell Automation&rsquo;s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.</p></div>

Advanced Analytics Research Scientist - Industrial Edge Intelligence

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