<p>We’re reinventing personal transportation — making the future safer, cleaner, and more enjoyable for everyone.</p><p><br></p>

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The Offline Driving Intelligence team at Zoox develops machine learning algorithms for training driving models, leveraging large-scale data for behaviors and planning. This role involves managing, mentoring, and growing a team of individual contributors, fostering innovation, and developing the overall strategy for Offline ML Models for planning, behaviors, and agents. You will provide technical guidance, oversee the design and development of training models, monitor KPIs, and manage team resources to ensure project success and continuous improvement.

Hardware Systems Integration Engineer

<p class="my-4 text-gray-700 leading-relaxed">The Offline Driving Intelligence team is responsible for developing machine learning algorithms that leverage data at large scale to train driving models. On the behaviors and planning team we learn and predict behaviors from large scale expert data and large scale reinforcement learning. This Offline Driving Intelligence team can leverage provided setups such as extended memory, flexible time and access to privileged information. The solutions developed are used in offline applications and to influence onboard decisions. This team is also building intelligent driving agents and dense driving metrics. In this role, you will collaborate closely with the Onboard Planning, Simulation, Perception, Validation, Data Science, Systems Engineering, QA, and ML Infra teams.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">In this role, you will:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Team Leadership: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.</li><li class="leading-relaxed">Strategy Development: Develop and organize our overall strategy for Offline ML Models for planning, behaviors and agents. You will interface with multiple partner teams to identify opportunities for model adoption within their problem area. You’ll be setting the short and long term technical direction for the team and collaborate on the broader company-wide directions.</li><li class="leading-relaxed">Technical Oversight: Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.</li><li class="leading-relaxed">Performance Monitoring: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of optimization strategies and drive continuous improvement.</li><li class="leading-relaxed">Resource Management: Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Qualifications:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Expertise with Reinforcement Learning and ML for Planning.</li><li class="leading-relaxed">Extensive experience with programming and algorithm design, strong mathematics skills.</li><li class="leading-relaxed">BS, MS, or PhD degree in computer science or related field.</li><li class="leading-relaxed">5+ years of experience with production Machine Learning pipelines, with at least 2 years in a leadership or management role.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus Qualifications</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Conference or Journal publications in Machine Learning or Robotics related venues.</li><li class="leading-relaxed">Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.</li></ul><p class="my-4 text-gray-700 leading-relaxed">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.</p><p class="my-4 text-gray-700 leading-relaxed">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.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Zoox</h3><p class="my-4 text-gray-700 leading-relaxed">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’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Accommodations</h3><p class="my-4 text-gray-700 leading-relaxed">If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</p><p class="my-4 text-gray-700 leading-relaxed"><em><strong>A Final Note:</strong></em></p><p class="my-4 text-gray-700 leading-relaxed"><em>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.</em></p>

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This full-time QA Intern position in Lahore, Pakistan, involves playtesting mobile games across various genres, identifying and documenting bugs, and suggesting gameplay improvements. Candidates should have 0-1 year of experience, a passion for gaming, strong observation, problem-solving, and communication skills, and familiarity with mobile game mechanics. The role requires collaboration with development teams to enhance game quality.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800"><strong>Key Responsibilities:</strong></h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Playtest mobile games (iOS/Android) across genres including action, puzzle, hyper-casual, RPG, simulation, etc.</li><li class="leading-relaxed">Identify bugs, glitches, crashes, and usability issues.</li><li class="leading-relaxed">Document and report issues clearly using tools like Google Sheets, Jira, or internal bug tracking systems.</li><li class="leading-relaxed">Suggest gameplay improvements and balancing tweaks from a player's perspective.</li><li class="leading-relaxed">Re-test resolved bugs to ensure proper fixes and regression testing.</li><li class="leading-relaxed">Collaborate with developers, designers, and senior QA engineers to improve game quality.</li><li class="leading-relaxed">Maintain up-to-date knowledge of current trends and mechanics in mobile games.</li></ul><p class="my-4 text-gray-700 leading-relaxed">---</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800"><strong>Required Skills & Qualifications:</strong></h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s Degree completed (any stream, preferably tech or design-related).</li><li class="leading-relaxed">0–1 year of QA/game testing experience (freshers welcome).</li><li class="leading-relaxed">Passion for gaming – must be an active gamer across mobile and/or other platforms.</li><li class="leading-relaxed">Strong familiarity with a wide range of mobile game genres and mechanics.</li><li class="leading-relaxed">Excellent observation, attention to detail, and problem-solving skills.</li><li class="leading-relaxed">Clear verbal and written communication skills.</li><li class="leading-relaxed">Ability to work in a team and follow structured testing processes.</li><li class="leading-relaxed">Organized and capable of multitasking across projects.</li></ul><p class="my-4 text-gray-700 leading-relaxed">---</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800"><strong>Good to Have (Not Mandatory):</strong></h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience in reporting bugs using tools like Jira, Trello, or Bugzilla.</li><li class="leading-relaxed">Basic knowledge of mobile platforms (iOS, Android), device compatibility issues.</li><li class="leading-relaxed">Exposure to Unity or other game engines.</li><li class="leading-relaxed">Understanding of game development pipelines.</li></ul>

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