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robotics software engineer

Byte-Code SpA

<div><p><b>About Xaba</b></p><p>
Xaba https://www.xaba.ai/ is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us in shaping the future of AI in robotics.</p><p><b>
The Role</b></p><p>
We are seeking an <b>Applied Robotics Engineer </b>to contribute to the development and deployment of our innovative products. As a key member of the Xaba team, you will play a pivotal role in shaping AI-powered robotics automation, while closely collaborating with the leadership team.</p><p>
What you will do:</p><ul><li>
Collaborate with Xaba&rsquo;s cross-functional team of engineers to support the development, testing and deployment of AI models leveraging state-of-the-art DNN, CNN and GNN models to augment industrial robotics cognition, awareness and facilitate their program generation</li><li>
Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.</li><li>
Provide training and support for Xaba's products.</li><li>
Work closely with customers to understand their requirements and pain points, ensuring successful integration of AI-powered robotics software.</li></ul><p><b>
Technical Expertise:</b></p><ul><li>
Working experience with <b>industrial robot manipulators</b>: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in <b>designing</b>, <b>building </b>and <b>deploying </b>robotic systems.</li><li><b>
Practical knowledge</b> of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written <b>English</b>.</li></ul><p><b>
Nice to have:</b></p><ul><li><b>
Experience </b>with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of <b>robotic programming languages</b>: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of <b>key robotic aspects</b>: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul><p><b>
Education:</b></p><ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul><p><b>
Our location</b></p><p>
While our team is remote-first and fully distributed, but <b>for this position you must live in San Francisco, California.</b></p><p></p><p><b>
Our Team and Perks</b></p><ul><li>
We are an open, collaborative, and supportive culture including skill shares and design critiques</li><li>
We believe that employees should be owners, which is why we provide stock option grants for full-time employees</li><li>
We believe in supporting the health and wellbeing of our team, which is why we offer a competitive health benefits package</li><li>
As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget</li><li>
Learning and development is critical to us, which is why we have a self-directed learning budget</li><li>
Stock option grants for full-time employees, promoting a sense of ownership.</li><li>
Competitive health benefits package.</li></ul><p><b>
Our Hiring Process</b></p><ul><li>
Discover: You discover the opportunity and apply to the role</li><li>
Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.</li><li>
Deep dive: We have a 60 minute call to dive deep into your experience and the role.</li><li>
Meet your team: You have a video call with a few other Xaba team members.</li><li>
Offer: You receive an offer to join Xaba!</li></ul><p><b>
Accommodations and Accessibility</b></p><p>
Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.</p><p></p><p><b>
About Byte-Code SpA</b></p><p>
As Italian hiring partner, Byte-Code is helping Xaba finding the best candidates. You can apply through our website: https://bytecode.recruitee.com/</p><p></p><p><b><br>
Technical Expertise:</b></p><ul><li>
Working experience with <b>industrial robot manipulators</b>: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in <b>designing</b>, <b>building </b>and <b>deploying </b>robotic systems.</li><li><b>
Practical knowledge</b> of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written <b>English</b>.</li></ul><p><b>
Nice to have:</b></p><ul><li><b>
Experience </b>with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of <b>robotic programming languages</b>: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of <b>key robotic aspects</b>: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul><p><b>
Education:</b></p><ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul></div><p></p>

Applied Robotics Engineer - San Francisco (CA)

Amaris Consulting

Job description
<br><br>
The Opportunity
<br><br>
Amaris Consulting is looking for a Software / Machine Learning Engineer to join a world-class engineering team working on cutting-edge autonomous and operator-assist systems. You will contribute to building production-grade autonomy software, from perception and computer vision to real-time decision-making; on both robotic and manned platforms. A high-impact role at the intersection of AI, robotics, and safety-critical systems.
<br><br>
Your Key Responsibilities
<br><br>
Design, implement and test algorithms for autonomy and advanced operator-assist systems
<br>Develop and maintain production-quality C++ and Python code for autonomy features
<br>Collect, process and analyze data from robotic and manned platforms to improve ML models and system performance
<br>Participate in the full software development lifecycle using Agile practices
<br>Contribute to architecture decisions, design reviews, code reviews and technical documentation, including design specs, test plans and safety procedures
<br><br>
Skills And Attributes For Success
<br><br>
Solid AI / ML / Deep Learning background applied to autonomy or operator-assist systems
<br>Strong experience in computer vision — image processing, object detection, tracking, scene understanding
<br>Hands-on experience with TensorFlow and/or PyTorch, and OpenCV for perception and sensor data processing
<br>Proficiency in C++ and Python for production-grade software development
<br>Extensive experience with Agile SDLC using Azure DevOps or Jira
<br>Comfortable with cloud compute and storage; AWS EC2, S3, Batch, for training, testing and deployment workflows
<br>Experience developing, integrating and testing complex autonomy software under safety and timing constraints
<br>Degree in Computer Science, Engineering, Robotics or a related field
<br><br>
Ideally, You'll Also
<br><br>
Have familiarity with ROS or AIS for robotics software development
<br>Have experience with NVIDIA hardware for accelerated ML workloads
<br>Be comfortable working across multiple subsystems and debugging complex cross-system issues
<br>Have exposure to safety-critical software development standards and practices
<br><br>
What We Look For
<br><br>
A curious and rigorous engineer who thrives at the intersection of AI research and real-world deployment. You write clean, reliable code, take ownership of your work end to end, and communicate clearly across robotics, systems and product teams. You are energized by hard problems and motivated by seeing your algorithms perform in the real world, not just on paper.
<br><br>
Why choose us
<br><br>
An international community bringing together more than 110 different nationalities
<br><b>An environment where trust is central:</b> 70% of our leaders started their careers at the entry level
<br>A strong training system with our internal Academy and more than 250 modules available
<br>A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
<br><br>
Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
<br><br>
Who are we?
<br>Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
<br><br>
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
<br><br>
<b>Brief Call:</b> Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
<br><br>
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
<br><br>
<b>Case study:</b> Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
<br><br>
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
<br>We look forward to meeting you!

Software / Machine Learning Engineer - Autonomous Systems

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role, you'll combine hands-on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.<br>
<br>
Key job responsibilities<br>
<ul><li>You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation.
</li><li>Work together with AI researchers to implement and optimize training of new model architectures at a large scale</li><li>Define roadmap and build physics realistic simulation environment for reinforcement learning, closed-loop simulations and synthetic data generation.</li><li>Implement tooling for data creation, model experimentation, and continuous integration</li></ul><br>
About the team<br>
At Frontier AI &amp; Robotics, we're not just advancing robotics &ndash; we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.<br>
<br>
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence &ndash; from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.<br>
<br>
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of engineering experience</li><li>5+ years of engineering team management experience</li><li>Experience managing multiple concurrent programs, projects and development teams in an Agile environment</li><li>Proficiency in Python and C++, experience in building large-scale training infrastructure using PyTorch</li><li>Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry-equivalent technology (3D animation, simulation, etc)</li><li>10+ years of planning, designing, developing and delivering infrastructure software</li><li>Experience partnering with product or program management science teams working in research environments</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience designing and developing large scale, high-traffic applications</li><li>Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions.</li><li>Deep understanding of different model architecture like VLM, Imitation learning, VLA</li><li>Experience implementing techniques from research papers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 253,100.00 - 342,300.00 USD annually<br>
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually</div><p></p>

Sr. Software Development Manager, Frontier AI Robotics

Wonderschool

<div>
 <strong>
  About Wonderschool
  <br/>
  <br/>
 </strong>
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 <br/>
 <br/>
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
  </li>
  <li>
   Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
  </li>
  <li>
   Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
  </li>
  <li>
   Debug and troubleshoot technical issues to ensure platform stability.
  </li>
  <li>
   Stay current with emerging technologies and best practices in software engineering and AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
  </li>
  <li>
   Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Basic understanding of cloud platforms like Google Cloud Platform and AWS.
  </li>
  <li>
   Excellent communication skills and ability to work in a collaborative, in-person environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
  </li>
  <li>
   Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
  </li>
  <li>
   Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
  </li>
  <li>
   Health Benefits: 100% coverage for employee premiums and 80% for dependents.
  </li>
  <li>
   Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
  </li>
  <li>
   Parental Leave: Competitive policies eligible after six months of employment.
  </li>
  <li>
   Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
   <br/>
   <br/>
  </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 <br/>
 <br/>
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 <br/>
 <br/>
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>


Early Career Software Engineer – Applied AI

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>San Jose, CA, USA; New York, NY, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.</li>
<li>3 years of experience in AI/Machine Learning (e.g., deep learning, perception, or computer vision).</li>
<li>Experience in C++, Python, Generative AI, Multimodal Machine Learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.</li>
<li>Experience with multimodal learning, large language models, or AI agents.</li>
<li>Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.</li>
<li>Familiarity with large-scale model training and deployment.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Google XR mission is to make information accessible. The team is working to advance artificial intelligence for wearable computers.</p><div>
In this role, you will conduct development on large language models (LLMs) and agents, particularly in the multimodal domain (vision, audio), focusing on developing AI for XR devices (glasses, goggles). You will contribute to AI research and the development of computing products.</div><p>
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap &ndash; the convergence of AI and XR. This is more than just new devices &ndash; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.</p><div><div><div><div>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
</div><div></div><br>
<div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques to enhance performance and robustness while adhering to strict device power and latency constraints. Write production-quality C++ and Python code.<br>
</li>
<li>Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure both model accuracy and on-device efficiency.<br>
</li>
<li>Identify, implement, and ship the latest modeling innovations, focusing on hybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization.<br>
</li>
<li><div><div>Prove out concepts for on-device AI features through rapid prototyping and iterative development, facilitating team testing in close partnership with XR product teams.</div></div></li>
<li><div><div><div>Work closely with research scientists, engineers, and product teams to drive the technical roadmap. Foster a collaborative environment and share findings through conference publications while contributing to product launches.</div></div></div></li>
</ul></div>Google 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, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, On-Device Hybrid Multimodal AI

Bright Machines

<div><div><b>RETHINK MANUFACTURING</b></div><div></div><div><br>
The only way to ignite change is to build the best team. At Bright Machines&reg;, we&rsquo;re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers&rsquo; unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.<br>
</div><div></div><br>
<div>Working with us means you&rsquo;ll have the opportunity to make lasting, impactful changes for our company and our customers. If you&rsquo;re ready to apply your exceptional skills to create the factory of the future, we&rsquo;d love to speak with you.</div>
<h3 class="jobSectionHeader"><b>ABOUT THE ROLE</b></h3><div>
<p>
Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible. Our platform is deployed across factory sites around the world, supporting manufacturing operations for some of the biggest names in the industry.</p>
<p>
As an Software Engineer, you will take meaningful ownership of features and small projects across our factory software stack &mdash; including Shopkeeper (our version for a better MES), the Assembly Dashboard for Observability, Metrics and Reporting, and the infrastructure connecting the factory floor to the cloud. You will independently design and implement solutions to moderately complex problems, collaborate with cross-functional partners, actively contribute to the technical direction of the team, and mentor junior engineers. You may also lead small cross-functional projects or initiatives.</p>
<p>
If you are ready to take ownership and contribute to a platform that changes manufacturing, this is your opportunity to Be Bright.</p>
</div><h3 class="jobSectionHeader"><b>
WHAT YOU WILL BE DOING</b></h3><ul>
<li>
<p>Write clean, efficient, and maintainable code across our backend and infrastructure stack</p>
</li>
<li><p>Take full ownership of small-to-medium projects or features end-to-end from design through deployment</p>
</li>
<li><p>Independently design and implement solutions to moderately complex engineering problems</p>
</li>
<li><p>Accurately estimate and prioritize tasks within sprint and quarterly planning cycles</p>
</li>
<li><p>Conduct code reviews and provide constructive, actionable feedback to peers</p>
</li>
<li><p>Proactively identify and resolve technical challenges before they become blockers</p>
</li>
<li><p>Mentor junior engineers through pairing, reviews, and technical guidance</p>
</li>
<li><p>Clearly communicate technical decisions and trade-offs to both technical and non-technical audiences</p>
</li>
<li><p>Collaborate effectively with cross-functional teams including product managers, hardware engineers, and operations</p>
</li>
<li><p>Actively participate in technical discussions, architecture reviews, and team decision-making</p>
</li>
<li><p>Contribute to improving team processes, development workflows, and engineering standards</p>
</li>
<li><p>May lead small cross-functional projects or initiatives as technical lead</p>
</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOU WILL BRING</b></h3><div>
<ul>
<li><p>3-5 years of professional software engineering experience</p>
</li>
<li><p>Bachelor degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field</p>
</li>
<li><p>Proficiency in at least two frameworks, languages, or technologies in our stack (Python, FastAPI, TypeScript, React, Vue, PostgreSQL, Kubernetes)</p>
</li>
<li><p>Demonstrated ability to independently design and ship features in a production environment</p>
</li>
<li><p>Experience conducting code reviews and contributing to engineering standards</p>
</li>
<li><p>Strong written and verbal communication skills</p>
</li>
<li><p>Track record of working effectively both independently and as part of a cross-functional team</p>
</li>
<li><p>Experience collaborating with cross-functional stakeholders (product, ops, or hardware teams)</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>IT WILL BE GREAT IF WE HAD</b></h3><div>
<ul>
<li><p>Experience with manufacturing execution systems (MES), factory automation, or industrial software</p>
</li>
<li><p>Familiarity with Kubernetes, Kustomize, or GitLab CI/CD pipelines</p>
</li>
<li><p>Experience with event-driven architectures, WebSockets, or real-time systems</p>
</li>
<li><p>Background in AWS services (S3, IoT Core, SSM, EKS, CodePipeline)</p>
</li>
<li><p>Demonstrated experience mentoring junior engineers or leading small technical initiatives</p>
</li>
<li><p>Contributions to technical decision-making within or across teams</p>
</li>
</ul></div><div><b>BE EMPOWERED TO CHANGE AN INDUSTRY</b></div><div></div><div><br>
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.</div><div></div><div><br>
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes&rsquo; AI 50, awarded &ldquo;Best AI-based Solution for Manufacturing&rdquo; by AI Breakthrough, named a &ldquo;Technology Pioneer&rdquo; by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.</div><br>
<div></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. 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>

Software Engineer - Automation Applications

Kodiak

<div><div><p>Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.</p></div><div>
<p>
Kodiak is seeking Machine Learning Engineers focussing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.</p>
<p>
In this role, you will design and deploy machine learning systems that improve our vehicles' ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.</p>
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.<br>
<br>
<b>In this role, you will:</b></div>
<ul><li>Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.</li>
<li>Help identify and achieve parity between onboard and deployed offboard models using validation on HIL</li>
<li>Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.</li>
<li>Analyze real-world driving logs to identify edge cases and improve model robustness and safety.</li>
<li>Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.</li>
<li>Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.</li>
</ul><div><b>What you'll bring:</b></div>
<ul><li>MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.<br>
Strong experience deploying machine learning or deep learning systems in production environments.</li>
<li>Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.</li>
<li>Experience working with large-scale distributed training systems.</li>
<li>Solid understanding of optimization, and machine learning fundamentals.</li>
<li>Strong software engineering fundamentals including testing, debugging, and system design.</li>
<li>Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.</li>
</ul>
<p><b>What we offer:</b></p>
<ul>
<li>Competitive compensation package including equity and annual bonuses</li>
<li>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)</li>
<li>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</li>
<li>Flexible PTO, 10 paid holidays, and generous parental leave policies</li>
<li>Our office is centrally located in Mountain View, CA</li>
<li>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</li>
<li>Long Term Disability, Short Term Disability, Life Insurance</li>
<li>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)</li>
<li>Fidelity 401(k)</li>
<li>Commuter, FSA, Dependent Care FSA, HSA</li>
<li>Various incentive programs (referral bonuses, patent bonuses, etc.)</li>
</ul><div></div><div>
<div>At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.</div>
<div></div>
<div>In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.</div>
<div></div>
<div><i>We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](</i><i>https://endorsed.com/local-law-144</i><i>). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact </i><i>careers@kodiak.ai</i><i> with &quot;Separate Review Request&quot; in the email subject line.</i></div></div></div><p></p>

Machine Learning Engineer - Deployment

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