autonomous systems engineer

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)

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

Shield AI

<div><div><div>Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI&rsquo;s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.</div><div></div><h3 class="jobSectionHeader"><b><br>
Job Description:</b></h3>
<div>
<p>The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem&mdash;spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives.</p>
<p>
We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications&mdash;ensuring our platform empowers customers to build reliable, mission-ready autonomous systems.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>What you'll do:</b></h3><div><div><div>
<ul><li>Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack.</li>
<li>Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.</li>
<li>Understand the full system end-to-end&mdash;from sensor inputs to autonomous behaviors.</li>
<li>Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components.</li>
<li>Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms.</li>
<li>Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles.</li>
<li>Develop integration tooling &amp; infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.</li>
<li>Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries.</li>
<li>Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging.</li>
<li>Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness.</li>
<li>Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Required qualifications:</b></h3><div><div><ul>
<li>Typically requires a minimum of 7 years of related experience with a bachelor&rsquo;s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master&rsquo;s degree; or 4 years with a PhD.
</li><li>Proficiency in programming languages including Python or C++.
</li><li>Experience with autonomous systems or middleware.
</li><li>Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.</li>
<li>Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments.
</li><li>Strong expertise with CI/CD pipelines.
</li><li>Strong problem-solving skills and a proven track record of delivering high-quality software solutions.
</li><li>Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.
</li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred qualifications:</b></h3><div><div><div>
<ul><li>Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.
</li><li>Experience with hardware or embedded systems.
</li><li>Expert knowledge of Python.
</li><li>Experience with ROS.
</li><li>Experience with white box testing
</li><li>Familiarity with networking, operating-systems, and radio communications.
</li></ul></div></div></div></div></div><div><div>$150,000 - $220,000 a year</div></div>
<div><div>#LI-KC3</div>
<div>#LD</div><div></div><div><br>
Full-time regular employee offer package:</div>
<div>Pay within range listed + Bonus + Benefits + Equity</div>
<div></div>
<div>Temporary employee offer package:</div>
<div>Pay within range listed above + temporary benefits package (applicable after 60 days of employment)</div>
<div></div>
<div>Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.</div>
<div></div>
<div>###</div>
<div></div>
<div>Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Staff Engineer, Software Integration (R5236)

ASUS COMPUTER INTERNATIONAL

<div></div><div><p><b>Job Description Overview:</b>
</p><p>The ASUS Robotics &amp; AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building the perception systems that allow our UAVs and other autonomous platforms to understand and operate in complex, real-world environments.</p><p>
We are looking for a hands-on engineer with practical experience taking computer vision algorithms from prototype to production, a strong foundation in 3D geometry and multi-sensor data, and a passion for making the math, the algorithms, and the code work together on real hardware. The ideal candidate thrives at the intersection of computer vision, robotics, and embedded systems, and is motivated by the challenge of delivering robust perception under the constraints of real-world autonomy.</p><p><b>
Essential Duties and Responsibilities:</b><b>
</b></p><ul><li>Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.</li><li>
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.</li><li>
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce accurate, low-latency situational awareness.</li><li>
Optimize algorithms for deployment on resource-constrained edge and embedded compute platforms.</li><li>
Characterize and quantify the performance of perception components through simulation, lab testing, and real-world field testing.</li><li>
Collaborate with robotics, software, and hardware teams to integrate perception components into the broader autonomy stack.</li><li>
Write clean, maintainable, and well-documented source code adhering to modern software development practices.</li><li>
Work in a cross-functional team that takes ownership of the full software lifecycle.</li></ul><div><b><br>
Knowledge and Skills:</b></div><br>
<div></div><ul><li>
Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).</li><li>
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.</li><li>
Proficiency in C++ and Python, with a commitment to writing clean, well-architected code.</li><li>
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.</li><li>
Experience deploying perception software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.</li><li>
Experience with robotics, autonomous systems, or real-time perception applications is a plus.</li><li>
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.</li><li>
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required</li></ul><div><b><br>
</b></div><p><b>Required Qualification</b><b>s</b><b>:
</b></p><p><b>Years of Education
</b></p>Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.<br>
<ul><li>
</li></ul><p><br>
<b>Work Experience</b></p><ul><li>
5+ years of industry experience developing and deploying computer vision or perception software.
</li><li>Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.</li><li>
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as PyTorch or TensorFlow.</li></ul><p><b><br>
Working Conditions</b><b>:</b>
</p><ul><li>Typically working in an office environment</li><li>
This is an IN-OFFICE position in Boston, MA (3 days in office / 2 days work from home)</li><li>
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time</li><li>
Travel requirements: 10%<i> travel</i><i>, domestic/international</i></li></ul><div></div><div><i><br>
$164,000 - $237,000</i><i> annually is the estimated pay range for this role working in </i><i>Boston</i><i>, </i><i>Massachusetts</i><i> office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our </i><i>comprehensive employee</i><i> benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k).</i><br>
<br>
<i>ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.</i></div><p></p><p><b><br>
About the ASUS Robotics &amp; AI Center</b></p><p>
The ASUS Robotics &amp; AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.</p><p>
 <b>More About ASUS</b></p><p>
ASUS is a global technology leader that provides the world&rsquo;s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&amp;D experts, the company is world-renowned for continuously reimagining today&rsquo;s technologies. Consistently ranked as one of Fortune&rsquo;s World&rsquo;s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.</p></div>

Senior Computer Vision Engineer

Zoox

<div><div><p>The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence.</p>
<p>
As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another.</p>
<p>
You will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs.</p>
<p>
In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.</p>
</div>
<h3 class="jobSectionHeader"><b>In this role, you will:</b></h3><div>
<ul>
<li><p>Allocate and distribute system resources (CPU/GPU/interconnect) to various models and inference engines running on the robot.</p>
</li>
<li><p>Spearhead cross-cutting initiatives that allow for better compute utilization through sharing/fusing models and better scheduling strategies.</p>
</li>
<li><p>Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA).</p>
</li>
<li><p>Architect and implement model conversion and compilation pipelines using TensorRT for edge deployment.</p>
</li>
<li><p>Write production-level, low-latency, and memory-safe C++ and CUDA code for real-time inference on vehicle systems.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul>
<li><p>Deep experience in system and performance optimization in CPU/GPU systems designed for low latency or high throughput.</p>
</li>
<li><p>Deep expertise in working with real-time systems &amp; required constraints such as processing latency, memory utilization, and memory bandwidth pressure.</p>
</li>
<li><p>Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference frameworks (INT8, FP8, FP4, BF16/FP16).</p>
</li>
<li><p>Proficiency in low-level programming for AI accelerators, specifically developing and optimizing custom ML OPs and TensorRT Plugins with efficient CUDA kernel implementations.</p>
</li>
<li><p>Production-level C++ (14/17/20) and Python programming skills, with experience developing concurrent, memory-safe, real-time inference code for edge devices.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications:</b></h3><div>
<ul>
<li><p>Prior experience in high-performance robotics applications such as AV/drones/robots.</p>
</li>
<li><p>Familiarity with SOTA autonomous driving perception algorithms (temporal 3D object detection, BEV, 3D Occupancy Networks) and multi-modal sensor processing (Vision, LiDAR, Radar).</p>
</li>
<li><p>Experience with end-to-end autonomous driving paradigms (VLM/VLA models, Foundation models) and edge deployment technologies (e.g., TensorRT-LLM).</p>
</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div><b>About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior/Staff Software Engineer - Machine Learning & System Optimization

Airbus

<div><p><b>Job Description:
</b></p><p>In order to support the design and integration of airborne electronic reconnaissance and self-protection systems and supervise the development through the entire life cycle, Airbus Defence and Space is looking for a
</p><p></p><h1 class="jobSectionHeader"><b>Systems Engineer - Autonome Systeme &amp; UAV-Prototyping (d/f/m)
</b></h1><p></p><p>As a Systems Engineer, you are responsible for establishing, operating, and further developing the Autonomy Lab &ndash; an internal prototyping and service platform for autonomous UAS algorithms. You will accompany the technical development throughout the entire system lifecycle, from requirements analysis and system architecture through software and hardware integration to flight test execution and demonstration to internal clients and external stakeholders. In this role, you will represent Airbus DS in international research programs and coordinate interfaces with consortium partners.
</p><p></p><h2 class="jobSectionHeader"><b>Your location
</b></h2><p>Located about an hour&rsquo;s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.
</p><p></p><h2 class="jobSectionHeader"><b>Our Benefits for You
</b></h2><ul><li><p>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</p></li><li><p>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</p></li><li><p>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</p></li><li><p>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</p></li><li><p>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Your tasks and responsibilities
</b></h2><ul><li><p>Technical leadership and further development of the Autonomy Lab as an internal service platform for algorithm prototyping and demonstration; coordination and execution of contract work for other departments (MUM-T, Combat Algorithms, AI-based Systems).
</p></li><li><p>System architecture and requirements management according to Systems Engineering methodologies (SysML, NAFv4, Enterprise Architect); creation of Interface Control Documents (ICD).
</p></li><li><p>Hardware responsibility: procurement, integration, and operation of UAV platforms and embedded systems (PX4, Jetson, Raspberry Pi, data links).
</p></li><li><p>Software development for mission management, ground control stations, and simulation environments (Python, C++, ROS2, STANAG 4586/4676/4609).
</p></li><li><p>Planning and execution of flight tests; technical coordination with internal departments and external project partners.
</p></li><li><p>Technical Point of Contact in multinational EU research projects (consortium coordination, international project meetings, deliveries).
</p></li><li><p>Supervision of students and doctoral candidates as part of laboratory activities.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Desired skills and qualifications
</b></h2><ul><li><p>Completed Master&rsquo;s degree in Aeronautical Engineering, Computer Science, Electrical Engineering, or a comparable technical field of study.
</p></li><li><p>Experience in Systems Engineering and system architecture (requirements management, ICD creation, V-Model or comparable).
</p></li><li><p>Knowledge in the development of autonomous UAS systems (hardware integration, mission software, simulation, flight tests).
</p></li><li><p>Programming skills in Python and/or C++; experience with ROS2 is an advantage.
</p></li><li><p>Experience in coordinating international projects or consortia.
</p></li><li><p>Knowledge of NATO STANAG standards is an advantage (particularly STANAG 4586 UCS, 4676 NITS, 4609 Motion Imagery).
</p></li><li><p>Fluent English and German language skills; willingness to travel for business.
</p></li></ul><p></p><p>Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
</p><p></p><p>Take your career to a new level and apply online now!
</p><p></p><p><b>#MYCYM
</b></p><p></p><p>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
</p><p></p><p><b>Company:
</b></p>Airbus Defence and Space GmbH
<p></p><p><b>Employment Type:
</b></p>Permanent
<p>-
</p><p></p><p><b>Experience Level:
</b></p>Professional
<p></p><p><b>Job Family:
</b></p>Vehicle Mission &amp; Control &lt;JF-EN-EU&gt;
<p></p><p>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
<br>
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
</p><p>Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
</p><p></p><p>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</p></div>

Systems Engineer – Autonome Systeme & UAV-Prototyping (m/f/d)

SubSea Craft

<div><ul><li><b>Salary: </b>Up to &pound;60,000 DOE
</li><li><b>Full Time
</b></li><li><b>Permanent<br>
</b></li></ul><p></p><br>
<p><b>Who we are: </b>SubSea Craft is a fast growing, privately-funded, UK-based innovative maritime technology company specialising in next-generation, high-performance watercraft and systems. We operate at the intersection of advanced engineering, cutting-edge design, and user-centric innovation, delivering safe, effective, and enabling solutions for both commercial and defence applications.<br>
</p><p></p><br>
<p><b>What we offer:
</b></p><ul><li>Pension Contribution &ndash; Pension scheme with the option to contribute via salary sacrifice.
</li><li>Annual Bonus Scheme &ndash; Eligibility to participate in the company&rsquo;s annual discretionary bonus scheme, linked to individual and company performance.
</li><li>Life Assurance and Critical Illness Cover &ndash; Comprehensive protection including Life Assurance (4x salary) and Critical Illness Cover for added financial security.
</li><li>Annual Leave &ndash; Entitlement to 25 days of annual leave plus bank holidays.
</li><li>Christmas Leave &ndash; A Christmas shutdown is typically observed.
</li><li>Wellbeing Day &ndash; An additional Wellbeing Day each year to focus on personal health and wellbeing.
</li><li>Family Leave &ndash; Enhanced maternity and paternity pay.
</li><li>Private Healthcare &ndash; Access to comprehensive private healthcare coverage to support your physical and mental wellbeing.
</li><li>Professional Development &ndash; Commitment to ongoing learning and career growth, supported by training programmes and access to LinkedIn Learning.
</li><li>Flexible Working &ndash; Opportunities for flexible working arrangements to promote work&ndash;life balance.
</li>Inclusive Culture &ndash; A professional environment that values diversity, innovation, and collaboration.<br>
<li>
</li></ul><p></p><br>
<p><b>Role Overview
</b></p><p>We are looking for a talented software engineer to help shape the future of intelligent vehicle control systems. You&rsquo;ll work on cutting-edge projects that blend software design, control systems, and real-world testing to deliver reliable, high-performance solutions. If you enjoy solving complex technical challenges, collaborating with a passionate team, and turning innovative ideas into reality, we&rsquo;d love to hear from you.<br>
</p><p></p><br>
<p><b>Responsibilities will include:
</b></p><ul><li>Software design and development in line with system requirements, with a focus on closed loop control and vehicle systems management.
</li><li>Implementing robust, scalable closed loop control features including propulsion management, control allocation, autopilot, station keeping and more.
</li><li>Testing and validation of software, including unit testing, simulation-based testing, bench testing, and sea trials.
</li><li>Production of comprehensive software documentation.
</li><li>Conducting peer reviews to ensure designs are reliable, modular, and maintainable.
</li>Collaborating closely with the software and engineering teams to ensure timely delivery of high-quality software and documentation.<br>
<li>
<br>
</li></ul><p></p><br>
<p><b>Qualifications and Experience:
</b></p><p><b>Required:
</b></p><ul><li>Degree-level qualification in Computer Science, Mechatronics, Robotics, or similar, or equivalent industry experience.
</li><li>Software development experience in modern C++ (14 or newer).
</li>Solid foundational knowledge of closed loop control.<br>
<li>
</li></ul><p></p><br>
<p><b>Desirable:
</b></p><ul><li>Good understanding of object oriented programming principles.
</li><li>Experience with PID tuning on physical systems.
</li><li>Experience with ROS or ROS2 .
</li><li>Experience with CAN bus.
</li><li>Experience with embedded systems.
</li><li>Familiarity with autonomous systems and robotics software stacks.
</li><li>Experience with real-time systems or control systems.
</li><li>Understanding of sensor fusion, path planning, or state estimation.
</li>Experience with marine or mobile robotics projects.<br>
<li>
<br>
</li></ul><p></p><br>
<p><b>Note </b>: Due to the nature of work undertaken at SubSea Craft, the selected candidate must be capable of meeting the security requirements of the position, which would include as a minimum existing right to live and work in the UK, Baseline Personnel Security Standard (BPSS), with UK National security clearance required for certain roles.*<br>
</p><p></p><br>
<p><b>Values: </b>Our people are our greatest asset, we continually strive to provide an excellent working environment to enable our team to do their best work. We have an agile professional workforce: we are founded on the belief that our people are valued and our business is trusted, inclusive and commercially-adept.<br>
</p><p></p><br>
<p><b>What we expect from you:
</b></p><ul><li>Teamwork, mutual respect and collaboration
</li><li>Initiative and independent working
</li><li>Honesty and integrity
</li><li>Business and commercial awareness
</li>Agility, adaptability and continuous development<br>
<li>
</li></ul><p></p><p>We are committed to building an inclusive, diverse workplace where everyone can thrive. If you require any support or adjustments to interact with us, please let us know.<br>
</p><p></p><p>* Please note that all offers of employment are conditional and subject to satisfactory DBS, driving licence and reference checks. A criminal record will not automatically disqualify candidates from employment. We will consider criminal record information alongside the wider range of evidence gathered at the application, interview, and pre-employment checking stages.<br>
</p><p></p><br>
<p>Due to the high volume of applications, we are unable to respond to everyone. If you are shortlisted, we will aim to contact you within 14 days of your application or the closing date (if stated). We may retain your details for future suitable roles unless you advise us otherwise.<br>
</p><p></p><p>For details of how we process your personal data, please refer to our Privacy Notice .</p></div>

Software Engineer (Control Systems)

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