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Job DescriptionJob Description MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2. Senior Microsoft Windows Field Deployment Technician Salary: $65,000 - $70,000 annually with full benefits As a Senior Microsoft Windows Field Deployment Technician on our project, you'll work with a team of onsite technicians supporting the VA's EHR deployment and training project and assist with oversight of workload. In this role you will be deploying, imaging, and setting up equipment (PCs, Laptops, Docking Stations, Monitors, Printers, Scanners, and Network Connections) around the VA medical center campus as well as offsite training centers. This role combines strong technical skills with an emphasis on delivering a high level of customer service. You will be responsible for unboxing, setting up, installing, configuring, removing equipment, re-packaging hardware for shipment, and with limited supervision. This role will also require setup of equipment at various training sites, verifying each computer has the most current VA computer image, computer is available for scheduled security scans and updates, Active Directory assignment for training use, configure network connectivity in the training room, and computer peripherals are installed at each training seat. You will be managing inventory and network connectivity at each training site and ensuring connectivity during all training sessions. This position is located onsite at Veterans' Administration Medical Centers and offsite training locations with daytime hours and may require evening hours and the potential for weekend hours. The staff may be required to travel to other sites outside of the metropolitan area throughout the week. You Have: 5 years' experience in imaging, installing computer equipment, and managing teams of technical staff Must be able to unpack/re-pack, move, and install pallets of IT equipment, with each item weighing up to 50 pounds, with no restrictions Must have personal transportation available during work hours Will need to consistently traverse around the site campus, transporting equipment to various office buildings, and frequently stoop, crouch, and reach to set up/remove computers/pull cords under desks and in server closets Will frequently need to be able to push carts carrying equipment Experience with hardware and software support, troubleshooting, system imaging, hardware break-fix support (i.e., laptops, desktops, and printers), refresh, upgrade, and deployment projects, as well as excellent customer service skills Experience with conducting routine system administration tasks and logging data in system admin logs Experience with maintaining and troubleshooting a wide variety of systems and networks, including high-availability systems Knowledge of debugging protocols and processes, and the ability to work independently while providing excellent customer service Bachelor's degree in computer science, Information Systems, Information Technology, or equivalent, and 5 total years of experience; or 13 total years of experience in lieu of a degree Nice If You Have: Experience with the ServiceNow ticketing system a plus Experience with the VA Public Trust clearance Experience with Microsoft windows desktop deployments Experience as IT helpdesk Tier 1 or 2 Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Specialized Fire & Security, Inc. is growing our Engineering group in Orlando and looking for an experienced fire alarm designer who understands Siemens' equipment. You'll turn contract documents and Sales proposals into accurate shop drawings and collateral documentation that our field crews and customers use every day. You'll work in the Orlando FL office as part of our multi-office Engineering Team What you'll do Work with Engineering supervisors to plan and produce shop drawings, including floorplans, riser diagrams, and control equipment and panel diagrams that match the project scope. Review contract drawings, specifications, and equipment data sheets to make sure every submittal reflects what was sold and what the code requires. Use AutoCAD automation (LISP, scripts, blocks, and templates) to speed up output and keep drawings consistent. Prepare collateral documentation for field staff, such as device schedules, wiring details, sequence of operations, and installation references. Record labor hours by project in our accounting software. Join periodic site visits, meetings, and surveys. Be available for overtime when project deadlines require it. Required 3+ years of AutoCAD experience producing fire alarm or life-safety shop drawings. 3+ years of hands-on experience with fire alarm and other life-safety electronics. Working knowledge of Siemens fire alarm equipment. NICET Level II or higher in Fire Alarm Systems. Ability to read and interpret contract drawings, specifications, codes, and equipment data & installation sheets. An understanding of electricity and electronics, including circuits, power supplies, and battery calculations. Strong written and verbal English communication skills. Strong computer and organizational skills, and the ability to manage several assignments independently. Legal authorization to work in the United States. Strongly preferred Experience as a fire alarm field technician, including installation, programming, and commissioning. Familiarity with NFPA 72 and the Florida Fire Prevention Code. Experience with large-scale or networked Siemens systems and related equipment. Candidates with competitive manufacturer knowledge and experience will be considered. Bluebeam Revu experience for markups and submittal review. What we offer Medical: We pay 82.5% of your medical premium. Vision, dental, and other benefits are available for purchase. Time off: 15 days of PTO to start, prorated for the first year and increasing with years of service, plus 10 paid company holidays. Growth: A written Advancement Plan with defined goals and matching compensation adjustments from your first day. Pay: We offer highly competitive compensation based on experience. Experienced candidates who bring Siemens expertise and industry knowledge will be paid for the value they add to the team. Location This is an in-office position at our Orlando, FL office. Apply If you're an ambitious, self-motivated professional with a strong AutoCAD background and real fire alarm experience, we'd like to hear from you. Include in your resume the Siemens platforms that you have experience with. Specialized Fire & Security, Inc. is an equal opportunity employer. PIb23fcf6-

Req ID: 372365 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a IT Program Manager to join our team in Arlington, Virginia (US-VA), United States (US). Job Summary: The Technical Director directs and manages technical activities related to implementation, transition, upgrades, testing, break fix, operations and maintenance. The Technical Director serves as an operational agency Point of Contact and contact for government-owned, external vendor solution elements for interoperability activities, communications, and escalations. The Technical Director performs technical engineering requirements associated with procurement, sustainment, modification, and performance of specific systems or sub-systems; provides technical guidance, data analysis, reports, assist in the coordination of all technical activities to include system analysis and facilities with Government oversight for inherently Government activities that require a decision or that might obligate the Government. The Technical Director ensures any performance degradations not specifically and directly delivered services under this call order can be supported in the operational model with the greatest efficiency and least government staff activity. The Technical Director ensures technology alignment to the strategy, roadmap, and technical architecture decisions of the government. The Technical Director has strong leadership, communication and project management skills, in-depth technical knowledge and the ability to adapt to evolving technologies. Job Duties: Supports development of long-term IT strategies, technical roadmaps, and policies aligned with agency missions. Oversees network services, server administration, cybersecurity, and cloud platforms. Ensures compliance with federal or local regulations (e.g., FISMA, FERPA, HIPAA) and implements robust security controls. Directs the modernization of legacy applications and manages the development of new, complex software solutions. Acts as a primary liaison between the IT department and other agency departments and stakeholders. Basic Qualifications: Master's degree in IT, Computer Science, Information Systems, Management, or a related field. One-and-one- half (1.5) years of additional experience can substitute for one (1) year of a typical degree program. Minimum 10 years of experience in IT management to include systems development, network administration, or technical operations. Project Management Certification (example: PMI PMP Certification). Ability to obtain/maintain a Public Trust clearance Work onsite Monday thru Thursday and Telework on Fridays Preferred Qualifications: Strong communication skills (verbal and written) with demonstrated and proven ability to manage staff, communicate with non-technical staff and officials, and drive organizational change. Familiarity with modern cloud infrastructure, particularly AWS Understanding of government IT standards, requirements, best practices, etc. Ability to manage multiple requests and deadlines concurrently in a fast paced environment. NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $127,792 - $212,988. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver. In this role, you will report to a Senior Staff Engineering Manager. You will: Lead the design, development and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo. Architect and implement scalable and robust ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization. Build and scale production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments. Apply Vision Language Models (VLMs) to enhance the semantic understanding and controllability of our world simulation products. Partner with world class research teams across Waymo and Alphabet to leverage State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions. Mentor and provide technical guidance to other engineers on the team. You have: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record. Proven experience in developing and training large-scale generative models for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications. Deep expertise in 3D World Modeling or 3D computer vision. Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting). Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow. We prefer: PhD and a strong track record of delivering impactful ML products in 3D generative models, world models, or video generation Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes. Experience with autonomous systems, robotics, or autonomous vehicle simulation. Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving. Experience in C++ for production systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team. This role is hybrid , based out of Austin, TX, Santa Clara, CA or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts. Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration. Strong problem solver who excels at debugging complex issues across design hierarchies. Collaborative team player who thrives in fast-paced, technically challenging environments. What We Need BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs. Expertise with industry-standard tools (Innovus, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python). Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling). Experience driving physical design requirements from early architecture through final signoff. What You Will Learn How to implement cutting-edge AI accelerators and high-performance CPUs on the most advanced process nodes. Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures. End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams. Direct impact on products that are redefining the landscape of AI and high-performance computing. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team. This role is hybrid , based out of Austin, TX, Santa Clara, CA or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts. Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration. Strong problem solver who excels at debugging complex issues across design hierarchies. Collaborative team player who thrives in fast-paced, technically challenging environments. What We Need BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs. Expertise with industry-standard tools (Innovus, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python). Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling). Experience driving physical design requirements from early architecture through final signoff. What You Will Learn How to implement cutting-edge AI accelerators and high-performance CPUs on the most advanced process nodes. Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures. End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams. Direct impact on products that are redefining the landscape of AI and high-performance computing. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars. To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches. In this hybrid role, you will report to a Senior Staff Engineering Manager. You will: Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones Support development, testing and evolution of mapping data in the simulator Improve / monitor the performance, scalability and the reliability of the simulator Design the long term architecture to fit the product to an increasing number of internal customers You have: Hands-on experience building a popular (internal- or external-facing) product. Experience on backend knowledge such as workflows, databases, SQL, production monitoring, etc. Strong in C++. We prefer: Experience with the release of software in a highly distributed heterogeneous execution environment Experience with systems programming (game engines, database, OS, distributed) Experience with ML Previous TL experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team. This role is hybrid , based out of Austin, TX, Santa Clara, CA or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts. Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration. Strong problem solver who excels at debugging complex issues across design hierarchies. Collaborative team player who thrives in fast-paced, technically challenging environments. What We Need BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs. Expertise with industry-standard tools (Innovus, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python). Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling). Experience driving physical design requirements from early architecture through final signoff. What You Will Learn How to implement cutting-edge AI accelerators and high-performance CPUs on the most advanced process nodes. Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures. End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams. Direct impact on products that are redefining the landscape of AI and high-performance computing. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity. We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo. In this hybrid role, you will report to the Head of ML Platform- Senior Staff Software Engineer. You will: Develop Waymo's inference platform to make it scalable, high throughput, and low latency Work closely with other teams across Waymo in hosting both internal and external ML models, including LLMs Improving the efficiency of running inference on these large models to increase throughput and save cost Deploy and integrate model inference solutions across a variety of use cases, such as distillation, eval, dataset generation, active learning, and auto-labeling You have: 5+ years of professional experience in the field of software engineering Experience in programming C++ Experience with building highly scalable distributed system We prefer: Passionate about building internal infra and tools Experience with building model hosting and inference solutions Experience with handling datasets in the order of exabytes The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

IT Support Technician - Launch Your Tech Career with L7 Solutions! L7 Solutions, a leading IT and cybersecurity provider, is seeking a skilled IT Support Technician to deliver top-tier technical support and ensure seamless IT operations for our clients. In this role, you'll troubleshoot issues, resolve technical challenges, and provide exceptional customer service. Competitive Pay + Growth Opportunities Hands-On Experience with Cutting-Edge Technology Collaborative, Fast-Paced Work Environment If you're a problem-solver with a passion for IT, apply today and grow with us! As a Support Technician, you will report to the IT Support Escalation Engineer and work as part of a team that is committed to the future of the organization. You will perform a wide variety of IT support, ranging from desktop and peripheral support to server and network issues. You will work directly with clients and internal staff of all technical levels and be driven to provide only the best customer service and support. Requirements: 2+ years of experience in supporting network connectivity and networking equipment for LAN/WAN topologies, Microsoft Products (i.e. Office 365, Windows OS's), Microsoft Active Directory administration, and internet-related technologies, including registrars, SSL, and hosting providers Technical certifications or training equivalent to A+ and Network+ preferred Prior experience in an MSP or support environment highly desirable Familiarity with server hardware and related technologies such as RAID, iLO, DRAC, bare metal restores, and backup methods considered a plus Experience with LabTech or similar RMM and ConnectWise or similar PSA software desirable Strong work ethic, attention to detail, problem-solving skills, and ability to work well with others Local candidates only Our benefits package includes medical, dental, and vision insurance, short-term and long-term disability insurance, life insurance, 401K with company match, flexible work from home options, paid vacation, a company-sponsored cell phone, performance-based bonuses, training, and other perks that make this a great place to work, learn, and grow. We also have Friday Happy Hours and quarterly major company events to promote team bonding. Responsibilities: Provide remote and on-site support for PCs, networking equipment, servers, and desktop software for small, medium-sized, and enterprise organizations Work directly with clients and internal staff of varying technical abilities Contribute to the maintenance and enhancement of internal systems and customer-facing hosted and cloud environments Participate in projects when needed Contribute to improving the IT environment and providing exceptional customer service and support Prior experience in an MSP or support environment, server hardware and related tech, LabTech or similar RMM experience, and ConnectWise experience or similar PSA experience are all considered a plus. Only local candidates in Fort Lauderdale, FL need apply. Benefits: 401K with company match Mobile phone reimbursement Competitive salary based on experience and qualifications Health, vision, and dental benefits included Mileage reimbursement Performance-based incentives Generous bonus levels Full on the job training & support Fun working environment and culture Great opportunity for advancement PTO Compensation Range: $42.5K - $55K, depending on experience and qualifications. Join L7 Solutions and be a part of a dynamic team that values innovation, client satisfaction, and professional growth. Apply now and lead our team to new heights!

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution. In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager. You will: Develop ADV's modular architecture improvements and frameworks that maximize performance and compute utilization and ROI for driving quality Evolve our compute usage on the car and simulation to enable continued scaling where the system runs fast on the car and efficiently in our data center Collaborating with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality Collaborating with hardware teams to codesign hardware/software and optimize the software for best performance on our hardware platform Ensuring our performance is strong at any driving complexity including as we scale to even more complex driving environments and encounter rarer events Ensuring state of the art reaction latency for collision avoidance via novel system/architecture designs and extremely fast nominal performance Developing necessary high scale performance evaluation, debugging and software change management processes Optimizing system resource usage to simulation at scale in Cloud datacenters: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU. You have: BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience) 6 years of software engineering experience on large scale/high complexity system (supported by hundreds of engineers) 2 years of software management experience with at least 4 years in infrastructure/systems/performance domain optimizing end to end system for high performance metrics 4 years of experience acting as technical lead in performance/software infrastructure domain 4 years of experience in C++ Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space Setup collaboration structures across team boundaries We prefer: Experience in robotics Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks Experience in large scale evaluation techniques/data science and building performance metrics/tooling Experience in large scale software re-architecture projects The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role, you'll report to a Staff Technical Lead Manager. You will: Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning. Architect and develop the foundational modeling libraries and software powering model development and experimentation. Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks. Adapt SOTA ML technologies to unique compute requirements, leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets. Drive rapid prototyping by building and maintaining flexible pipelines and development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years experience in Machine Learning and/or Computer Vision Strong expertise in Python and C++ and a solid software engineering background Experience with ML frameworks like PyTorch, JAX, or Tensorflow We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role, you'll report to a Staff Technical Lead Manager. You will: Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning. Architect and develop the foundational modeling libraries and software powering model development and experimentation. Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks. Adapt SOTA ML technologies to unique compute requirements, leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets. Drive rapid prototyping by building and maintaining flexible pipelines and development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years experience in Machine Learning and/or Computer Vision Strong expertise in Python and C++ and a solid software engineering background Experience with ML frameworks like PyTorch, JAX, or Tensorflow We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo Driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques. These techniques are for the Evaluation systems on our autonomous service. They will serve as a constant driver to improve the performance of our technology stack. You will: Grow the end-to-end strategy for our next generation of machine learning-based evaluation metrics, promoting scientific and statistical rigor across our embodied AI applications Architect and build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors Lead the design, implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions. These solutions will enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system Provide technical mentorship, guidance, and thought leadership to other engineers within the team and across collaborating groups Guide and align multiple teams-including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software-on a cohesive evaluation strategy, ensuring cross-functional alignment on goals and priorities You have: PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience 10+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning 2+ years of people management experience Demonstrated expertise in deep learning, sequence modeling, and generative models Strong publication record or history of impactful project delivery in RL or related areas Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow) Experience with large-scale distributed training and data processing Proven ability to lead complex and ambiguous technical projects from conception to completion We prefer: 12+ years of relevant experience in ML/RL research and application Experience in the autonomous vehicles domain, robotics, or complex simulation environments Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences) Familiarity with large-scale simulation platforms and their integration with ML training workflows Experience designing and using metrics for evaluating complex AI systems Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries Excellent communication skills, with the ability to articulate complex technical concepts clearly The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD