software engineer

inventory procurement associate, autonomy & robotics Jobs in San Francisco

inventory procurement associate, autonomy & robotics

machine learning engineer / ai engineer Jobs in San Francisco

machine learning engineer / ai engineer

phd intern, ai research scientist, motion generation Jobs in San Francisco

phd intern, ai research scientist, motion generation

senior software engineer Jobs in San Francisco

senior software engineer

ai robotics research engineer

Nimble Robotics

<div><div><div><b>About Nimble</b></div><div></div><div><br>
Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We&rsquo;re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team.</div><div></div><div><br>
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.</div><div></div><div><br>
Our long-term vision is to invent the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.</div><div></div><div><br>
We were founded from the AI labs at Stanford and Carnegie Mellon. We&rsquo;re backed by the World&rsquo;s most prestigious investors and Nimble&rsquo;s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford&rsquo;s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)!</div><div></div><div><br>
Join us to leave your mark on the future of robotics, AI, and logistics!</div><div></div><div><br>
Link: Introducing Nimble &ndash; Intelligent Fulfillment Robots at Scale</div><div></div><div><b><br>
Why Join Nimble?</b></div><div>
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.</div><div></div><div><b><br>
Nimble's Core Values:</b></div><div><b>
Be relentlessly resourceful</b> - <i>Challenge the status quo. Make the impossible, possible. Do whatever it takes.</i></div><div><b>
Be legendary</b> - <i>Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.</i></div><div><b>
Be humble</b> - <i>Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.</i></div><div><b>
Be dependable</b> - <i>Take ownership and deliver. Be loyal to your team and Nimble's mission.</i></div><div></div><div><b><br>
The Role</b></div><div></div><div><br>
Nimble is looking for an AI Research Engineers to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.</div><div></div><div><br>
You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world&rsquo;s biggest robotics opportunity.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more</li><li>
Develop data collection pipelines</li><li>
Design data annotation and labeling</li><li>
Support implementation of models into production systems</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><ul><li><ul><li>P.h.D in Robotics or Computer Science</li><li>
Experience training deep learning models for robotic manipulation or mobility</li><li>
Experience working with real robotic hardware</li><li>
Experience training models in simulation and developing simulation environments</li><li>
Experience collecting custom datasets</li><li>
Experience training on open-source datasets</li><li>
Strong track record of publishing papers and/or deploying real-world applications</li><li>
Experience with system architecture, design and development</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Additional Requirements</b></h3><ul><li><ul><li>
Must be able to work extended hours and weekends as needed</li><li>
Must be able to work in San Francisco</li></ul></li></ul></div></div>
<div><div>$200,000 - $280,000 a year</div></div>
<div><div><b>Culture:</b></div><div>
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!</div><div></div><div><b><br>
Press:</b></div><div></div><div><br>
Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx</div><div></div><div><br>
Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance</div><div></div><div><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.</div><div></div><div><b><br>
Nimble's Benefits</b></div><div></div><div><b><br>
Paid Time Off</b></div><div>
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.</div><div></div><div><b><br>
Health Insurance</b></div><div>
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.</div><div></div><div><b><br>
Paid Parental Leave</b></div><div>
Enjoy paid bonding time following a birth.</div><div></div><div><b><br>
Commuter Benefits</b></div><div>
Take the stress out of commuting with access to fully-paid parking spots.</div><div></div><div><b><br>
Referral Bonus</b></div><div>
Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.</div><div></div><div><b><br>
401k</b></div><div>
Contribute towards a 401k for retirement planning.</div><div></div><div><b><br>
Equity</b></div><div>
Be an owner in Nimble through our equity program</div></div></div>

AI Robotics Research Engineer

Agora

<div><p><b>About the Company</b></p><p>
Agora is the App Store for AI.</p><p>
As hundreds of thousands of AI agents emerge across every vertical, the software discovery and sales landscape is becoming increasingly chaotic. Agora cuts through that noise&mdash;we help individuals and enterprises discover the best AI agents for their needs, all powered by deep research, social proof, and quantitative evaluations.</p><p>
Agora has raised $3.6M in seed funding from world-class investors like Wing VC.</p><p></p><p><b>
About the Role</b></p><p>
As a frontend engineer, you'll help build Agora's core user-facing product. Our vision is to make Agora the go-to app store for software in the agentic future. We're tackling a broad range of problems, from building an interactive research agent for product discovery and evaluation to modeling complex social dynamics at scale to incentivize debate and discourse. This will involve difficult technical challenges such as platform native modules, universally composable React Native components, and real-time ML inference at scale.</p><p>
This is a rare opportunity to join a well-funded startup at the earliest stage, where your contributions will directly shape how the world discovers and adopts AI agents. We are in-person in SF and bring a fast-paced, ambitious, and creative culture. We offer competitive compensation, equity, and the kind of collaborative environment where you can do your best work. If you're interested in spearheading the future of AI distribution and adoption, we would love to chat.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Completely own full features end-to-end &amp; collaborate with the founders to scope out the problem space</p></li><li><p>
Own cross&#8209;platform UI features end&#8209;to&#8209;end on iOS, Android, and Web</p></li><li><p>
Manage our universal frontend stack, from monorepo build tooling to state management and performance monitoring</p></li><li><p>
Deliver clean, robust, and quality UX without sacrificing on performance</p></li><li><p>
Flex across the full stack (frontend, backend, infra) to build whatever is necessary to support our customers.</p></li><li><p>
Design scalable APIs with web server frameworks (in a WinterCG runtime)</p></li><li><p>
Manage relational database schema and write performant SQL (with ORMs)</p></li><li><p>
Ship <i>fast</i>.</p></li></ul><p></p><p><b>
Requirements</b></p><ul><li><p>
Deep proficiency with React Native, navigation (Expo Router/React Navigation), and modern state&#8209;management (Tanstack Query)</p></li><li><p>
Comfort debugging and developing native modules, using profiling tools to achieve smooth UX.</p></li><li><p>
Experience working with styling systems (Tamagui, Tailwind, or similar) and a passion for visual polish.</p></li><li><p>
Proven experience shipping production React Native.</p></li></ul><p></p><p><b>
Bonus Points</b></p><ul><li><p>
Previously been a founder or early engineer at a hypergrowth startup.</p></li><li><p>
Prior work on React Native Universal and/or native mobile products.</p></li><li><p>
Notable open source contributions.</p></li></ul><p>
Compensation Range: $180K - $220K</p></div>

Fullstack Engineer (frontend-leaning)

Beacon Talent

<div><div><h2 class="jobSectionHeader"><b>Our client
</b></h2><p>Our client is building AI infrastructure for the next era of learning, with a mission to make one-on-one, world-class tutoring accessible to every learner. Their products already reach hundreds of thousands of students worldwide, and they&rsquo;ve recently closed a top-tier seed round to accelerate growth. The team blends deep technical expertise with a passion for impact, and they are expanding in Berkeley to push the boundaries of real-time, personalized AI learning experiences.
</p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p>They are hiring a <b>Machine Learning / AI Engineer </b>to design, prototype, and ship machine learning systems with a strong focus on large language model (LLM) workflows, real-world evaluation, and deployment readiness. This is a hands-on engineering role (not research-focused) where you&rsquo;ll work closely with product, design, and engineering teams to bring powerful AI into real student experiences.
</p><p><b>Location: </b>On-site, Berkeley, CA
<br>
<b>Experience Level: </b>0&ndash;2 years
<br>
<b>Type: </b>Full-time, in-office
<br>
<b>Compensation: </b>Top-of-market cash with meaningful equity (0.1&ndash;0.3%)
</p><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><ul><li><p>Build, scale, and own ML/AI systems.
</p></li><li><p>Design evaluation pipelines and apply them to iteratively improve performance.
</p></li><li><p>Collaborate cross-functionally to ship student-facing ML features.
</p></li><li><p>Drive high-quality, high-speed execution in a startup environment
</p></li></ul><h2 class="jobSectionHeader"><b>Requirements
</b></h2><ul><li><p>0&ndash;2 years of professional ML engineering experience, ideally in product-facing roles.
</p></li><li><p>Strong machine learning and software engineering skills.
</p></li><li><p>Proficiency with Python and frameworks such as FastAPI or Django, plus experience with Postgres.
</p></li><li><p>Hands-on experience with LLMs: orchestration, context management, evaluation, and fine-tuning.
</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, or Azure).
</p></li><li><p>Passion for building impactful products.
</p></li></ul><h2 class="jobSectionHeader"><b>Benefits &amp; Why Join
</b></h2><ul><li><p>Competitive cash + equity package.
</p></li><li><p>Direct mentorship from senior AI engineers and researchers.
</p></li><li><p>Work that ships fast and impacts learners directly.
</p></li><li><p>Opportunity to join at an early stage and help shape both the product and the company.</p></li></ul></div></div>

Machine Learning Engineer / AI Engineer

Storm3

<div><h2 class="jobSectionHeader"><b>About the job</b></h2><br>
<p></p>
<p><b>
&zwj; Principal Software Engineer (Computational Chemistry/Molecular Dynamics)</b></p>
<p><b>
 AI Drug Discovery Unicorn (Series B)</b></p>
<p><b>
Remote within US</b></p>
<p><b>
 Competitive base + hefty equity</b></p><br>
<p></p>
<p>
This start-up is truly a leader in deep learning &amp; generative AI, merging cutting-edge models with biology research to accelerate disease treatment &amp; drug discovery.</p><br>
<p></p>
<p>
They are seeking engineering experts to help develop new medicines and play a critical role in building out their software platform</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Build and maintain complex computational chemistry workflows for drug discovery
</li><li>Work closely with computational chemists and CADD scientists to productionize new computational methods for molecular property prediction
</li><li>Help scale our data infrastructure to handle billions of datapoints and hundreds of thousands of parallel QM and molecular dynamics jobs</li></ul><br>
<p></p>
<p><b>
Requirements:</b></p>
<ul>
<li>A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigational curiosity to find the root cause of a problem
</li><li>Comfortable working across all levels of the software stack, building intuitive APIs and libraries for computational chemists
</li><li>Experienced working in the fields of computational chemistry and drug discovery
</li><li>Experienced writing production code and driving projects to completion
</li><li>Fields of education include immunology, molecular and cell biology, biochemistry, or related disciplines</li></ul><br>
<p></p>
<p><i>
 Remote within the USA</i></p>
<p><i>
 Interested in applying? alternatively email me your resume at </i><b><i>stefani.lukic@storm3.com</i></b></p><br>
<p></p>
<ul><li><i>Storm3 is a HealthTech &amp; Biotech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int</i>el</li></ul></div>

Staff SWE – Computational Chemistry

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Post-Training is responsible for training the models to be deployed into ChatGPT, the API, and future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a self-starter full stack engineer who can help us rapidly prototype and develop internal products or tools used by researchers, such as visualization for our evaluation of models. You should be comfortable being truly full stack, such as building front-end from scratch and debugging backend and data pipelines. Ideal candidates are comfortable being scrappy and working independently at fast speeds.
 <br/>
 <br/>
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Rapidly prototype and build tooling or visualization for researchers.
  </li>
  <li>
   Collaborate with research teams to build full stack tooling.
  </li>
  <li>
   Design, implement, test, and debug code across our stack.
  </li>
  <li>
   Very comfortable refactoring codebases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong background in writing maintainable, testable, clean code.
  </li>
  <li>
   Enjoyment of code quality, refactoring, and building robust internal codebases.
  </li>
  <li>
   Have experience building products that end users interface with, or building internal tools.
  </li>
  <li>
   Have experience experience shipping things quickly with competing priorities or deadlines.
  </li>
  <li>
   Proficiency with Python
  </li>
  <li>
   Are a team player, willing to do a variety of tasks that move the team forward.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>


Software Engineer, Post-Training Research

DoorDash

<p></p><div><h1 class="jobSectionHeader"><b>About the Team</b></h1>
<p>
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you want to work on commercializing autonomy and robotics in a service used by millions of people, then we want to talk to you!</p>
<h1 class="jobSectionHeader"><b>
About the Role</b></h1>
<p>
We're looking for an <b>Inventory Procurement Associate</b> to support the sourcing, purchasing, and tracking of components critical to our robotics, autonomy, and field systems. This role is responsible for ensuring inventory accuracy, managing supplier relationships, and scaling procurement and supply chain workflows across hardware programs.</p>
<p>
You'll work closely with engineering, sourcing, and operations teams to ensure timely and accurate delivery of components&mdash;from fast prototyping through production and early-stage deployment. This is a hands-on, operationally focused role within a fast-moving environment, with responsibilities spanning procurement, inventory management, and warehouse operations.</p>
<p>
The Inventory Procurement Specialist will report to the Prototype Integration team in our Autonomy organization.</p>
<h1 class="jobSectionHeader"><b>
You're excited about this opportunity because you will&hellip;</b></h1>
<ul><li>Source, negotiate, and purchase parts, tools, and materials for R&amp;D, production, and field operations</li>
<li>Build and maintain relationships with suppliers to ensure quality, competitive pricing, and on-time delivery</li>
<li>Track and manage inventory across labs, warehouses, and deployment sites</li>
<li>Receive, label, store, and issue materials used in R&amp;D, production, and field builds</li>
<li>Plan and kit materials for prototype, NPI, and production builds</li>
<li>Submit and monitor purchase requests for a wide range of hardware components (mechanical, electrical, embedded systems, PCBAs, cables, packaging, consumables, etc.)</li>
<li>Maintain organized records of POs, receipts, invoices, and part usage</li>
<li>Conduct regular cycle counts and resolve inventory discrepancies</li>
<li>Ensure proper storage practices for sensitive and high-value components</li>
<li>Coordinate domestic and international shipments, ensuring compliance with customs, tariffs, and export regulations</li>
<li>Support onboarding of new suppliers and ensure compliance with documentation requirements</li>
<li>Help maintain procurement system workflows (Coupa, SAP, NetSuite, or similar) and resolve basic system-related issues</li>
<li>Identify opportunities to streamline procurement, inventory, and warehouse processes</li>
<li>Maintain and upkeep warehouse storage areas, implementing best practices in material handling, storage, and documentation</li>
<li>Collaborate with cross-functional partners to forecast material needs and prevent shortages</li>
</ul><h1 class="jobSectionHeader"><b>We're excited about you because&hellip;</b></h1>
<ul><li>You have <b>3&ndash;5 years of experience</b> in procurement, inventory management, production, or hardware operations (preferably within robotics, aerospace, automotive, or manufacturing environments)</li>
<li>You have experience with ERP and procurement systems (Coupa, SAP, NetSuite, or similar) and ideally MRP systems for production</li>
<li>You are familiar with <b>hardware development cycles</b>, BOMs, and have supported engineering or R&amp;D teams</li>
<li>You have strong <b>vendor management and negotiation skills</b><br>
You are highly organized and detail-oriented, with strong documentation and tracking skills</li>
<li>You can manage multiple tasks, vendors, and requests in a fast-paced environment</li>
<li>You're comfortable handling everything from purchase order tracking to hands-on warehouse inventory management</li>
<li>You're proficient in Excel or Google Sheets for data analysis and reporting</li>
<li>You're able to lift up to 40 lbs and work in a hands-on lab/warehouse environment</li>
</ul><h3 class="jobSectionHeader"><b>Bonus points&hellip;</b></h3>
<ul><li>Experience supporting autonomy, robotics, UAVs, aerospace, or regulated hardware programs</li>
<li>Familiarity with PLM systems (Arena, Agile) and BOM management</li>
<li>Knowledge of international logistics, duties, tariffs, and shipping compliance</li>
<li>Experience with low-volume, high-complexity parts procurement</li>
<li>Proficiency in Jira and Confluence for workflow and documentation tracking</li>
<li>Knowledge of lean inventory practices and supply chain optimization</li>
<li>Forklift certification or demonstrated warehouse safety training</li></ul><p></p><div><h1 class="jobSectionHeader"><b><br>
About DoorDash</b></h1>
<p>
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
<br>
<br>
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.</p>
<h1 class="jobSectionHeader"><b>
Our Commitment to Diversity and Inclusion</b></h1>
<p>
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p>
<p>
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &quot;protected categories,&quot; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.</p>
<p>
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.</p>
<p>
If you need any accommodations, please inform your recruiting contact upon initial connection.</p></div></div>

Inventory Procurement Associate, Autonomy & Robotics

Aurora Innovation

<div><div><p><b>Who we are</b></p>
<div>
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</div><div><br>
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</div><br>
<div></div>
<div>
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.</div></div><div></div><p><br>
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Staff level Technical Product Manager to join Aurora's Product &amp; Program Management team, partnering closely with the Behavior Planning team as well as Software development teams (i.e., Data Engine, Controls, etc.) broadly. The Behavior Planning team is an integral part of Aurora's Driver team and is responsible for developing the algorithms for selecting safe and comfortable trajectories for the Aurora Driver.</p>
<p><b>
In this role, you will</b></p>
<ul>
<li>Partner deeply with Behavior Planning leads and engineers to plan and prioritize development with greatest product impact.</li>
<li>Assess requirements, facilitate selection of the best options, and coordinate the team to successfully evolve tools and operational processes to achieve them.</li>
<li>Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders, and engage and energize the project teams to achieve aggressive goals.</li>
<li>Manage complex projects at a large scale, spanning many functional teams and cross-functional initiatives. Instill an efficient project management mindset and workflow across the team, and function as a go-to resource for project management mentorship</li>
<li>Remove obstacles to drive momentum and progress, identify gaps in communication or schedule, manage issue escalations and provide support to teams balancing competing priorities, and drive results proactively.</li>
<li>Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities and push the team to be effective.</li></ul><br>
<p></p>
<p><b>
Required Qualifications</b></p>
<ul>
<li>Minimum of 7+ years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.</li>
<li>Bachelor's degree in Engineering, Computer Science, Math, Data Science, Information Systems or a related area, or the equivalent in experience with evidence of exceptional ability preferred.</li>
<li>A strong familiarity with machine learning models, robotics or computer vision systems and their architecture.</li>
<li>Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs.</li>
<li>High technical aptitude with an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.</li>
<li>Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.</li>
<li>Strong written and verbal communication skills with the ability to adjust communication based on audience.</li>
<li>Passion for shipping new to market products and the ability to dynamically adapt to new responsibilities needed to do so</li></ul><br>
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<p>
The base salary range for this position is $181-$290K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.</p>
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 #LI-SP1</p>
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#Mid-Senior</p><div><p><b>
Working at Aurora</b><br>
<br>
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together &mdash; all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.</p>
<p><b>
Commitment to inclusion</b></p>
<p>
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.</p>
<p>
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.</p></div></div>

Staff Technical Product Manager, Autonomy

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