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.
09/23/2026
Full time
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.
Description JOIN THE ECS4Kids TEAM ECS4Kids (formerly Episcopal Children's Services) is a 2026 Top Workplace that honors young children's immense potential by helping them enter school ready to learn. We cultivate lifelong learners by immersing children in enriching guided experiences and discovery-oriented approaches. Through programs like Voluntary Prekindergarten (VPK), Head Start, School Readiness, Child Care Resource & Referral (CCRR), and more, our dedicated professionals work with families and caregivers throughout Florida to promote children's well-being. These enable us to strengthen key areas including motor development, cognitive development, social and emotional development, language and communication skills, and problem-solving skills. Partner with us to help empower communities to rise above generational poverty with comprehensive early childhood education and holistic family support. We have career opportunities available in several counties throughout Northeast and Central Florida. ECS4Kids offers a competitive benefit package which includes: Medical, dental and vision insurance 403(b) plan with 5% employer match Employee Assistance Program (EAP) Long-term & short-term disability insurance Employer-paid life insurance Paid holidays Generous paid time off Career development Qualifying employer for Public Service Loan Forgiveness Program Salary commensurate with experience. GENERAL DESCRIPTION: The Vice President of Technology & Security serves as a strategic technology partner to executive leadership, translating agency goals into a multi-year technology and security roadmap. The Vice President provides strategic leadership and oversight of all IT and information security functions for Episcopal Children's Services (ECS4Kids), ensuring the reliability, security, compliance, and effectiveness of the agency's technology infrastructure, cloud platforms, telecommunications, and information assets across a 24-county service territory in Florida and Georgia. Serving as the agency's Information Systems Security Oficer (ISSO), the Vice President owns cybersecurity, data governance, business continuity/disaster recovery, vendor management, technology planning, and regulatory compliance, and protects sensitive child, family, employee, and agency information. The role develops technology policies, procedures, and security controls that align with organizational strategy, compliance requirements, and risk tolerance. The Vice President advises executive leadership and the Board of Directors on technology strategy, cybersecurity risk, and emerging technologies, and builds the technical and leadership capacity of a lean IT team supporting more than 1,000 end users across the agency's geographic footprint. In a department of this size, the Vice President is expected to operate as a player-coach - moving fluidly between strategic leadership and direct technical engagement as operational demands require. Major Responsibilities Partner with leadership to anticipate technology needs, develop a multi-year technology roadmap, and identify opportunities to improve business processes, service delivery, and efficiency through technology. Partner with Fiscal, Grants, and Program leadership to align technology investment with agency growth, funder priorities, and grant competitiveness. Serve as liaison between users, departments, vendors, and technical support providers, and report on technology performance, risk, and compliance to executive leadership and the Board. SaaS & Cloud Platform Management Oversee administration, configuration, security, and integration of the agency's SaaS ecosystem, including Microsoft 365, NetSuite (ERP), Paylocity (HCM), and other critical cloud platforms used across all program operations. Lead evaluation, selection, procurement, contract negotiation, and lifecycle management of SaaS and technology vendors, ensuring vendors meet security, compliance, and performance obligations. Maintain system access controls, identity management, and MFA enforcement across all cloud platforms; ensure proper ofboarding and access revocation protocols. Oversee implementation, upgrades, and vendor support of software, enterprise platforms, and network infrastructure, coordinating with the IT Manager and Specialists across the territory. Manage IT infrastructure - networks, cloud platforms, servers, telecommunications, and end-user devices - and oversee implementation, upgrades, and vendor support of software and enterprise platforms. Telecommunications & End User Support Manage IT asset lifecycle - end-user devices, mobile devices, peripherals - including procurement, deployment, tracking, and disposal, maintaining property custodian responsibilities. Oversee end user support operations, establishing service standards, escalation protocols, and performance metrics for the IT team's helpdesk and field support functions. Ensure the continuous availability of telecommunications infrastructure - internet connectivity, VoIP, and network services - across all 24 counties of the agency's service territory, minimizing downtime for more than 1,000 end users. Serve as ECS's Information Systems Security Oficer (ISSO), leading a comprehensive cybersecurity program: risk assessments, vulnerability and threat management, identity/access controls, MFA, endpoint protection, security monitoring, and awareness training (including for Microsoft 365, NetSuite, Paylocity, and other cloud systems). Lead incident response for cybersecurity events and data breaches, including investigation, containment, recovery, and required notiications. Provide direct technical support and hands-on problem-solving when escalated issues exceed team capacity or require executive-level intervention - including troubleshooting critical system outages, network failures, SaaS misconfigurations, or security incidents alongside IT staff. Serve as subject matter expert for third-party compliance documentation: dissect SOC 1 (Type II) and SOC 2 (Type II) reports from critical SaaS vendors, identify control deficiencies, evaluate system bridge letters, define required Complementary User Entity Controls (CUECs), and perform material weakness assessments to maintain internal compliance. Track and secure technology assets, mobile devices, and remote/cloud systems; maintain confidentiality of sensitive information encountered in the role. Establish agency-wide data governance (classification, privacy, retention, disposal, quality) and ensure database security and access controls. Ensure compliance with applicable state, federal, contractual, and funder technology and privacy requirements, including Head Start and Florida Early Learning standards; coordinate related audits, assessments, and cyber insurance requirements. Maintain documented IT policies, procedures, system/security documentation, and disaster recovery, incident response, and business continuity plans, including periodic testing and succession planning within IT. Direct technology procurement, vendor selection, contract negotiation, and lifecycle management, ensuring vendors meet security and compliance obligations. Develop and administer the annual IT operating and capital budget, including cost-beneit analysis and hardware planning; fulfill property custodian responsibilities. Supervise, coach, and develop IT staff, fostering a collaborative, customer-service-oriented, and continuously improving department. Evaluate emerging technologies (e.g., AI, automation) and establish governance and acceptable-use standards for their adoption. Serve in contract administrator/manager/supervisor and emergency duty roles as assigned; perform other related duties as assigned. These essential job functions are not a complete statement of duties. Employees may be required to perform other related duties as assigned. Requirements Education and Experience Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, Business Technology, or a related field. Seven (7) to ten (10) years of progressively responsible IT experience, including leadership over cybersecurity, SaaS/cloud platforms, telecommunications, end user support, vendor management, compliance, and strategic technology planning. Demonstrated experience reading and interpreting SOC 1 (Type II) and SOC 2 (Type II) audit reports, evaluating bridge letters, defining CUECs, and conducting material weakness assessments in a compliance context. Experience leading information security initiatives, technology projects, and business continuity/transformation efforts preferred. Experience in nonprofit, education, healthcare, human services, government, or similarly regulated environments preferred. (A comparable amount of training, education, or experience can be substituted for minimum qualifications.) Skills, Knowledge and Abilities Ability to provide strategic, forward-looking IT leadership, identifying risks and recommending proactive improvements. Demonstrated ability to operate effectively at both the strategic and operational level - equally comfortable presenting cybersecurity risk to the Board and troubleshooting a network outage or SaaS misconfiguration alongside IT staff. Ability to deine problems, interpret technical and diagrammatic instructions, and draw valid conclusions from data click apply for full job details
09/23/2026
Full time
Description JOIN THE ECS4Kids TEAM ECS4Kids (formerly Episcopal Children's Services) is a 2026 Top Workplace that honors young children's immense potential by helping them enter school ready to learn. We cultivate lifelong learners by immersing children in enriching guided experiences and discovery-oriented approaches. Through programs like Voluntary Prekindergarten (VPK), Head Start, School Readiness, Child Care Resource & Referral (CCRR), and more, our dedicated professionals work with families and caregivers throughout Florida to promote children's well-being. These enable us to strengthen key areas including motor development, cognitive development, social and emotional development, language and communication skills, and problem-solving skills. Partner with us to help empower communities to rise above generational poverty with comprehensive early childhood education and holistic family support. We have career opportunities available in several counties throughout Northeast and Central Florida. ECS4Kids offers a competitive benefit package which includes: Medical, dental and vision insurance 403(b) plan with 5% employer match Employee Assistance Program (EAP) Long-term & short-term disability insurance Employer-paid life insurance Paid holidays Generous paid time off Career development Qualifying employer for Public Service Loan Forgiveness Program Salary commensurate with experience. GENERAL DESCRIPTION: The Vice President of Technology & Security serves as a strategic technology partner to executive leadership, translating agency goals into a multi-year technology and security roadmap. The Vice President provides strategic leadership and oversight of all IT and information security functions for Episcopal Children's Services (ECS4Kids), ensuring the reliability, security, compliance, and effectiveness of the agency's technology infrastructure, cloud platforms, telecommunications, and information assets across a 24-county service territory in Florida and Georgia. Serving as the agency's Information Systems Security Oficer (ISSO), the Vice President owns cybersecurity, data governance, business continuity/disaster recovery, vendor management, technology planning, and regulatory compliance, and protects sensitive child, family, employee, and agency information. The role develops technology policies, procedures, and security controls that align with organizational strategy, compliance requirements, and risk tolerance. The Vice President advises executive leadership and the Board of Directors on technology strategy, cybersecurity risk, and emerging technologies, and builds the technical and leadership capacity of a lean IT team supporting more than 1,000 end users across the agency's geographic footprint. In a department of this size, the Vice President is expected to operate as a player-coach - moving fluidly between strategic leadership and direct technical engagement as operational demands require. Major Responsibilities Partner with leadership to anticipate technology needs, develop a multi-year technology roadmap, and identify opportunities to improve business processes, service delivery, and efficiency through technology. Partner with Fiscal, Grants, and Program leadership to align technology investment with agency growth, funder priorities, and grant competitiveness. Serve as liaison between users, departments, vendors, and technical support providers, and report on technology performance, risk, and compliance to executive leadership and the Board. SaaS & Cloud Platform Management Oversee administration, configuration, security, and integration of the agency's SaaS ecosystem, including Microsoft 365, NetSuite (ERP), Paylocity (HCM), and other critical cloud platforms used across all program operations. Lead evaluation, selection, procurement, contract negotiation, and lifecycle management of SaaS and technology vendors, ensuring vendors meet security, compliance, and performance obligations. Maintain system access controls, identity management, and MFA enforcement across all cloud platforms; ensure proper ofboarding and access revocation protocols. Oversee implementation, upgrades, and vendor support of software, enterprise platforms, and network infrastructure, coordinating with the IT Manager and Specialists across the territory. Manage IT infrastructure - networks, cloud platforms, servers, telecommunications, and end-user devices - and oversee implementation, upgrades, and vendor support of software and enterprise platforms. Telecommunications & End User Support Manage IT asset lifecycle - end-user devices, mobile devices, peripherals - including procurement, deployment, tracking, and disposal, maintaining property custodian responsibilities. Oversee end user support operations, establishing service standards, escalation protocols, and performance metrics for the IT team's helpdesk and field support functions. Ensure the continuous availability of telecommunications infrastructure - internet connectivity, VoIP, and network services - across all 24 counties of the agency's service territory, minimizing downtime for more than 1,000 end users. Serve as ECS's Information Systems Security Oficer (ISSO), leading a comprehensive cybersecurity program: risk assessments, vulnerability and threat management, identity/access controls, MFA, endpoint protection, security monitoring, and awareness training (including for Microsoft 365, NetSuite, Paylocity, and other cloud systems). Lead incident response for cybersecurity events and data breaches, including investigation, containment, recovery, and required notiications. Provide direct technical support and hands-on problem-solving when escalated issues exceed team capacity or require executive-level intervention - including troubleshooting critical system outages, network failures, SaaS misconfigurations, or security incidents alongside IT staff. Serve as subject matter expert for third-party compliance documentation: dissect SOC 1 (Type II) and SOC 2 (Type II) reports from critical SaaS vendors, identify control deficiencies, evaluate system bridge letters, define required Complementary User Entity Controls (CUECs), and perform material weakness assessments to maintain internal compliance. Track and secure technology assets, mobile devices, and remote/cloud systems; maintain confidentiality of sensitive information encountered in the role. Establish agency-wide data governance (classification, privacy, retention, disposal, quality) and ensure database security and access controls. Ensure compliance with applicable state, federal, contractual, and funder technology and privacy requirements, including Head Start and Florida Early Learning standards; coordinate related audits, assessments, and cyber insurance requirements. Maintain documented IT policies, procedures, system/security documentation, and disaster recovery, incident response, and business continuity plans, including periodic testing and succession planning within IT. Direct technology procurement, vendor selection, contract negotiation, and lifecycle management, ensuring vendors meet security and compliance obligations. Develop and administer the annual IT operating and capital budget, including cost-beneit analysis and hardware planning; fulfill property custodian responsibilities. Supervise, coach, and develop IT staff, fostering a collaborative, customer-service-oriented, and continuously improving department. Evaluate emerging technologies (e.g., AI, automation) and establish governance and acceptable-use standards for their adoption. Serve in contract administrator/manager/supervisor and emergency duty roles as assigned; perform other related duties as assigned. These essential job functions are not a complete statement of duties. Employees may be required to perform other related duties as assigned. Requirements Education and Experience Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, Business Technology, or a related field. Seven (7) to ten (10) years of progressively responsible IT experience, including leadership over cybersecurity, SaaS/cloud platforms, telecommunications, end user support, vendor management, compliance, and strategic technology planning. Demonstrated experience reading and interpreting SOC 1 (Type II) and SOC 2 (Type II) audit reports, evaluating bridge letters, defining CUECs, and conducting material weakness assessments in a compliance context. Experience leading information security initiatives, technology projects, and business continuity/transformation efforts preferred. Experience in nonprofit, education, healthcare, human services, government, or similarly regulated environments preferred. (A comparable amount of training, education, or experience can be substituted for minimum qualifications.) Skills, Knowledge and Abilities Ability to provide strategic, forward-looking IT leadership, identifying risks and recommending proactive improvements. Demonstrated ability to operate effectively at both the strategic and operational level - equally comfortable presenting cybersecurity risk to the Board and troubleshooting a network outage or SaaS misconfiguration alongside IT staff. Ability to deine problems, interpret technical and diagrammatic instructions, and draw valid conclusions from data click apply for full job details
About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. Position Summary We are seeking motivated and enthusiastic New Grad Associates to join the team at Coalfire! In this entry-level role, you will gain hands-on technical experience in cybersecurity, while contributing to real-world projects and making an impact. This is an excellent opportunity for recent graduates with a passion for cybersecurity and a desire to develop their skills in a dynamic environment. Most of our employees are working remotely, however, depending on your preference and location in proximity to one of our offices, this role can be a remote or hybrid position if you would like. We are targeting students graduating between December 2026 and June 2027. We are looking for passionate professionals with the academic and practical experience, along with the drive, acumen, and aptitude, to support our Division Hex - Pen Testing team. Learn more about Division Hex at What You'll Do Conduct network, web, mobile application penetration testing, code reviews, social engineering, red team engagements, and physical security assessments. Conduct security assessments on a wide variety of technologies and implementations. Advise clients on technical security or compliance activities. Collaborate with project managers, quality management, sales and other delivery team members to drive customer satisfaction and meet project deliverables. Contribute to the Coalfire Division Hex Penetration Testing Team overall success by helping the team to meet various business objectives and metrics. $63,000 - $105,000 a year The salary range listed is a reasonable estimate of the compensation range for this role based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs. Why You'll Want to Join Us At Coalfire, you'll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you'll work most effectively - whether you're at home or an office. Regardless of location, you'll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You'll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you'll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options. At Coalfire, equal opportunity and pay equity is integral to the way we do business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Coalfire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact our Human Resources team at .
09/23/2026
Full time
About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. Position Summary We are seeking motivated and enthusiastic New Grad Associates to join the team at Coalfire! In this entry-level role, you will gain hands-on technical experience in cybersecurity, while contributing to real-world projects and making an impact. This is an excellent opportunity for recent graduates with a passion for cybersecurity and a desire to develop their skills in a dynamic environment. Most of our employees are working remotely, however, depending on your preference and location in proximity to one of our offices, this role can be a remote or hybrid position if you would like. We are targeting students graduating between December 2026 and June 2027. We are looking for passionate professionals with the academic and practical experience, along with the drive, acumen, and aptitude, to support our Division Hex - Pen Testing team. Learn more about Division Hex at What You'll Do Conduct network, web, mobile application penetration testing, code reviews, social engineering, red team engagements, and physical security assessments. Conduct security assessments on a wide variety of technologies and implementations. Advise clients on technical security or compliance activities. Collaborate with project managers, quality management, sales and other delivery team members to drive customer satisfaction and meet project deliverables. Contribute to the Coalfire Division Hex Penetration Testing Team overall success by helping the team to meet various business objectives and metrics. $63,000 - $105,000 a year The salary range listed is a reasonable estimate of the compensation range for this role based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs. Why You'll Want to Join Us At Coalfire, you'll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you'll work most effectively - whether you're at home or an office. Regardless of location, you'll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You'll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you'll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options. At Coalfire, equal opportunity and pay equity is integral to the way we do business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Coalfire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact our Human Resources team at .
Apple Client Platform Engineer (Remote, US) About Alectrona Customer experience is more than meeting an SLA. Our team is passionate about making Apple "just work" for our clients, because we want you to experience the delight of a truly functional technology environment, without the friction of IT getting in the way. We get excited about what we do, and we love sharing that passion with our partners. Enterprise IT becomes enjoyable again. We actually love what we do, we take a lot of pride in the quality of our work, and for us, customer experience is paramount. The SLA is not the only metric that drives us. We get deeply invested in finding ways to keep our clients as excited as we are. In an industry that hasn't changed much in over a decade, we are actively reimagining what clients should expect from technology vendors. So we want to show off what's possible not just what's been promised. We treat all people as if they're smart and know what's best. because our clients are smart, and they do know. We work with clients that inspire us, and whose missions we want to support. That mutual respect results in trusting relationships and productive communication about business pain points and solutions. We won't hide behind intimidating security-speak and IT jargon. We say what we mean, and mean for clients to understand what we say. Our clients put their people first - and so do we. Happy employees create happy customers. Downtime is expensive, and top talent shouldn't spend entire days downloading apps and setting up workstations. Our clients understand this, and demand the best for their people as a matter of business strategy. We bring a matching sense of purpose and excitement to every client engagement. What you'll do at Alectrona You will lead professional services engagements for organizations running Apple at scale. That means designing the management platform, building the parts that do not exist yet, and telling the customer the truth about what will and will not work. We're a fully remote team across multiple time zones, and we expect you to work well in that environment and be willing to meet in person a few times per year, present at conferences, and be an active member of the team. Design, deploy, and hand over Apple management platforms: MDM, identity, patching, security tooling, and the integrations that tie them together. Own services engagements end to end in accordance with our company values. You scope the work, plan it, run it, document it, and close it out. We expect you to be able to effectively manage your own time and projects. Our team enjoys this flexibility and autonomy and the responsibility that comes with it. Solve the problems that get escalated after everyone else has tried. Packet captures, log spelunking, protocol-level MDM debugging, troubleshooting undocumented behavior in macOS. Understand software development concepts: automations, integrations against vendor APIs, custom agents, deployment tooling. We don't expect you to write apps, but it is important to understand the code you're deploying and know how to fix stuff that isn't working. Challenge customers when their plan will not survive production. Arguing for a better approach is part of the job, and you have to do it well enough to keep the relationship. Run scoping calls. Uncover the business driver behind the request, and then explain what the work will take in plain language. Support our small and medium business managed services customers alongside the rest of the Alectrona team. Provide technical support and guidance to our managed services customers, including properly recording notes, updating documentation, and resolving tickets within SLA targets. Mentor other engineers and colleagues to raise the standards and help everyone learn. Shape new products and services. Alectrona builds its own software, and the ideas come from the field. Perform all job responsibilities in alignment with the core values, mission and purpose of the organization. Adhere to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity. Support and promote a positive, inclusive workplace where the talents and strengths of our increasingly diverse workforce are welcomed, further developed, and expressed in our work. What we're looking for This is a high mid-level to senior role. We are looking for an engineer who is an expert in Apple management and knows the rest of IT well enough to work across the whole stack a customer runs. You will be supporting a variety of customer types, from end users to IT managers. Apple and endpoint management Deep experience managing Apple devices in a variety of types of environments. This means complex management beyond help desk support and basic engineering Solid hands-on expertise in at least two enterprise Apple device management platforms, and the ability to pick up the others fast. Our work spans Jamf Pro, Microsoft Intune, Omnissa Workspace ONE, Fleet, Iru (formerly Kandji), Addigy and Mosyle. Command of the Apple management stack itself, not just one vendor's console: this includes an understanding of the MDM protocol, Declarative Device Management, Automated Device Enrollment and Apple Business, APNs, configuration profiles, TCC and PPPC, FileVault, code signing and notarization, Platform SSO, etc. Experience migrating fleets between platforms, and a solid understanding of what each vendor does well and where another solution might be stronger. Software/DevOps skills for managing endpoints You are familiar with more than just using basic shell scripts. Confidence in writing your own Shell scripts and troubleshooting code at a minimum. Swift, Python, Go or other experience is a plus. Use AI to accelerate and complement your code, not as a wholesale replacement. We want efficiency, productivity, and anti-slop creativity. At Alectrona, we view AI not as a replacement for human expertise, but as a multiplier for your existing skills. Using git, participating in code review, leveraging CI, and testing and packaging are part of how you work, not something another team does for you. You leverage APIs, webhooks, and automation workflows to complete tasks and build processes that scale. The rest of IT IP networking: familiar with TCP/IP, DNS, DHCP, routing, 802.1X, VPN, proxies and TLS inspection. Server and identity administration: supporting Platform SSO, WebAuthn, Entra ID, Okta, Google Workspace, Active Directory, SAML, OIDC, SCIM, Kerberos, and certificate authorities. Security and compliance: CIS Benchmarks, NIST 800-53, SOC 2, ISO 27001, endpoint detection tooling, vulnerability management, and how each of these applies to securing Macs in production. Working with customers Experience and confidence delivering paid professional services or consulting to external customers. You are comfortable actively leading and training customers on implementing configuration changes when we aren't provided direct access to systems. Experience and confidence in supporting end users and small businesses in our managed services operation. You explain complex technical work to people who do not share your background, in writing and out loud. You participate in discovery, kickoff, and project scoping calls as the engineering voice; ask good questions and translate client context into technical decisions. You have the confidence to stand up for what's right, whether it's about a technical best practice or just common sense. You challenge your customer to think differently and maintain trust in our recommendations. You stay steady when a project goes sideways, the workload swings, or a customer is unhappy. Fluent English language proficiency (required). Education and certifications Four-year degree, or the equivalent in experience and knowledge. We understand these skills don't come from higher education alone. Appreciated, but not required; however, you should have the skill to obtain any or all of these certifications quickly: Apple Certified IT Professional, Jamf Certified Expert (400), Microsoft MD-102, CompTIA Network+ and Security+, CISSP. If you don't have certs, you will be expected to obtain them in the first few months of employment. You're the right fit for Alectrona if You enjoy your work and enjoy helping the people around you without being asked. You seek out perspectives that are not your own. You are curious and resourceful; you dig into the parts nobody else wants, and you improve on your own work. New challenges excite you rather than worry you. You take calculated risks and share your mistakes with the team so we can all improve. You approach hard conversations with empathy. Like us, you enjoy solving the really hard problems as a team and hearing how we've significantly improved our clients' working environment. We're serious about building a great place to work where we all get to enjoy what we do together. Pay and benefits The approximate annual compensation range for this role is $95,000 to $165,000, including base salary and any related bonuses or commissions. In addition, Alectrona provides benefits, including 401(k) (6% non-elective company contribution), group medical, dental, vision insurance (99% paid by Alectrona), and an unlimited vacation policy.
09/23/2026
Full time
Apple Client Platform Engineer (Remote, US) About Alectrona Customer experience is more than meeting an SLA. Our team is passionate about making Apple "just work" for our clients, because we want you to experience the delight of a truly functional technology environment, without the friction of IT getting in the way. We get excited about what we do, and we love sharing that passion with our partners. Enterprise IT becomes enjoyable again. We actually love what we do, we take a lot of pride in the quality of our work, and for us, customer experience is paramount. The SLA is not the only metric that drives us. We get deeply invested in finding ways to keep our clients as excited as we are. In an industry that hasn't changed much in over a decade, we are actively reimagining what clients should expect from technology vendors. So we want to show off what's possible not just what's been promised. We treat all people as if they're smart and know what's best. because our clients are smart, and they do know. We work with clients that inspire us, and whose missions we want to support. That mutual respect results in trusting relationships and productive communication about business pain points and solutions. We won't hide behind intimidating security-speak and IT jargon. We say what we mean, and mean for clients to understand what we say. Our clients put their people first - and so do we. Happy employees create happy customers. Downtime is expensive, and top talent shouldn't spend entire days downloading apps and setting up workstations. Our clients understand this, and demand the best for their people as a matter of business strategy. We bring a matching sense of purpose and excitement to every client engagement. What you'll do at Alectrona You will lead professional services engagements for organizations running Apple at scale. That means designing the management platform, building the parts that do not exist yet, and telling the customer the truth about what will and will not work. We're a fully remote team across multiple time zones, and we expect you to work well in that environment and be willing to meet in person a few times per year, present at conferences, and be an active member of the team. Design, deploy, and hand over Apple management platforms: MDM, identity, patching, security tooling, and the integrations that tie them together. Own services engagements end to end in accordance with our company values. You scope the work, plan it, run it, document it, and close it out. We expect you to be able to effectively manage your own time and projects. Our team enjoys this flexibility and autonomy and the responsibility that comes with it. Solve the problems that get escalated after everyone else has tried. Packet captures, log spelunking, protocol-level MDM debugging, troubleshooting undocumented behavior in macOS. Understand software development concepts: automations, integrations against vendor APIs, custom agents, deployment tooling. We don't expect you to write apps, but it is important to understand the code you're deploying and know how to fix stuff that isn't working. Challenge customers when their plan will not survive production. Arguing for a better approach is part of the job, and you have to do it well enough to keep the relationship. Run scoping calls. Uncover the business driver behind the request, and then explain what the work will take in plain language. Support our small and medium business managed services customers alongside the rest of the Alectrona team. Provide technical support and guidance to our managed services customers, including properly recording notes, updating documentation, and resolving tickets within SLA targets. Mentor other engineers and colleagues to raise the standards and help everyone learn. Shape new products and services. Alectrona builds its own software, and the ideas come from the field. Perform all job responsibilities in alignment with the core values, mission and purpose of the organization. Adhere to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity. Support and promote a positive, inclusive workplace where the talents and strengths of our increasingly diverse workforce are welcomed, further developed, and expressed in our work. What we're looking for This is a high mid-level to senior role. We are looking for an engineer who is an expert in Apple management and knows the rest of IT well enough to work across the whole stack a customer runs. You will be supporting a variety of customer types, from end users to IT managers. Apple and endpoint management Deep experience managing Apple devices in a variety of types of environments. This means complex management beyond help desk support and basic engineering Solid hands-on expertise in at least two enterprise Apple device management platforms, and the ability to pick up the others fast. Our work spans Jamf Pro, Microsoft Intune, Omnissa Workspace ONE, Fleet, Iru (formerly Kandji), Addigy and Mosyle. Command of the Apple management stack itself, not just one vendor's console: this includes an understanding of the MDM protocol, Declarative Device Management, Automated Device Enrollment and Apple Business, APNs, configuration profiles, TCC and PPPC, FileVault, code signing and notarization, Platform SSO, etc. Experience migrating fleets between platforms, and a solid understanding of what each vendor does well and where another solution might be stronger. Software/DevOps skills for managing endpoints You are familiar with more than just using basic shell scripts. Confidence in writing your own Shell scripts and troubleshooting code at a minimum. Swift, Python, Go or other experience is a plus. Use AI to accelerate and complement your code, not as a wholesale replacement. We want efficiency, productivity, and anti-slop creativity. At Alectrona, we view AI not as a replacement for human expertise, but as a multiplier for your existing skills. Using git, participating in code review, leveraging CI, and testing and packaging are part of how you work, not something another team does for you. You leverage APIs, webhooks, and automation workflows to complete tasks and build processes that scale. The rest of IT IP networking: familiar with TCP/IP, DNS, DHCP, routing, 802.1X, VPN, proxies and TLS inspection. Server and identity administration: supporting Platform SSO, WebAuthn, Entra ID, Okta, Google Workspace, Active Directory, SAML, OIDC, SCIM, Kerberos, and certificate authorities. Security and compliance: CIS Benchmarks, NIST 800-53, SOC 2, ISO 27001, endpoint detection tooling, vulnerability management, and how each of these applies to securing Macs in production. Working with customers Experience and confidence delivering paid professional services or consulting to external customers. You are comfortable actively leading and training customers on implementing configuration changes when we aren't provided direct access to systems. Experience and confidence in supporting end users and small businesses in our managed services operation. You explain complex technical work to people who do not share your background, in writing and out loud. You participate in discovery, kickoff, and project scoping calls as the engineering voice; ask good questions and translate client context into technical decisions. You have the confidence to stand up for what's right, whether it's about a technical best practice or just common sense. You challenge your customer to think differently and maintain trust in our recommendations. You stay steady when a project goes sideways, the workload swings, or a customer is unhappy. Fluent English language proficiency (required). Education and certifications Four-year degree, or the equivalent in experience and knowledge. We understand these skills don't come from higher education alone. Appreciated, but not required; however, you should have the skill to obtain any or all of these certifications quickly: Apple Certified IT Professional, Jamf Certified Expert (400), Microsoft MD-102, CompTIA Network+ and Security+, CISSP. If you don't have certs, you will be expected to obtain them in the first few months of employment. You're the right fit for Alectrona if You enjoy your work and enjoy helping the people around you without being asked. You seek out perspectives that are not your own. You are curious and resourceful; you dig into the parts nobody else wants, and you improve on your own work. New challenges excite you rather than worry you. You take calculated risks and share your mistakes with the team so we can all improve. You approach hard conversations with empathy. Like us, you enjoy solving the really hard problems as a team and hearing how we've significantly improved our clients' working environment. We're serious about building a great place to work where we all get to enjoy what we do together. Pay and benefits The approximate annual compensation range for this role is $95,000 to $165,000, including base salary and any related bonuses or commissions. In addition, Alectrona provides benefits, including 401(k) (6% non-elective company contribution), group medical, dental, vision insurance (99% paid by Alectrona), and an unlimited vacation policy.
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP General software engineering experience solving motion planning or related robotics problems Experience applying or evaluating ML-based systems in production environments Experience with performance optimization of deep models, including with respect to specific hardware architectures 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 $175,000-$215,000 USD
09/23/2026
Full time
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP General software engineering experience solving motion planning or related robotics problems Experience applying or evaluating ML-based systems in production environments Experience with performance optimization of deep models, including with respect to specific hardware architectures 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 $175,000-$215,000 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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP General software engineering experience solving motion planning or related robotics problems Experience applying or evaluating ML-based systems in production environments Experience with performance optimization of deep models, including with respect to specific hardware architectures 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 $175,000-$215,000 USD
09/23/2026
Full time
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business. Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: BS in Computer Science, ML, Robotics, similar technical field of study 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP General software engineering experience solving motion planning or related robotics problems Experience applying or evaluating ML-based systems in production environments Experience with performance optimization of deep models, including with respect to specific hardware architectures 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 $175,000-$215,000 USD
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
09/23/2026
Full time
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
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. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction 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 $204,000-$259,000 USD
09/23/2026
Full time
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. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction 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 $204,000-$259,000 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. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction 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
09/23/2026
Full time
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. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction 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. 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
09/23/2026
Full time
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 at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct 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 software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills 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 $175,000-$215,000 USD
09/23/2026
Full time
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 at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct 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 software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills 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 $175,000-$215,000 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. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. collaborative - work across team boundaries cross-functional - work with PM, UX, legal, operations, or other non-engineering roles independence / leadership - take ownership and drive efforts to completion You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive 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
09/23/2026
Full time
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. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. collaborative - work across team boundaries cross-functional - work with PM, UX, legal, operations, or other non-engineering roles independence / leadership - take ownership and drive efforts to completion You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive 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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments 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 $175,000-$215,000 USD
09/23/2026
Full time
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments 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 $175,000-$215,000 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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments 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 $175,000-$215,000 USD
09/23/2026
Full time
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments 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 $175,000-$215,000 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 at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct 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 software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills 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 $175,000-$215,000 USD
09/23/2026
Full time
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 at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct 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 software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills 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 $175,000-$215,000 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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team. You will: Transition low-level Perception tasks from algorithms to machine learning Work on system integration and optimization Evaluate task-level and system-level quality, developing new metrics as needed You have: Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 5+ years of industry experience Strong C/C++ skills Proficiency with Python Experience with Computer Vision and Machine Learning Experience with System Integration We prefer: Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline Experience with sensor data processing (Lidar, camera, or radar) Experience 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 $213,000-$263,000 USD
09/23/2026
Full time
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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team. You will: Transition low-level Perception tasks from algorithms to machine learning Work on system integration and optimization Evaluate task-level and system-level quality, developing new metrics as needed You have: Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 5+ years of industry experience Strong C/C++ skills Proficiency with Python Experience with Computer Vision and Machine Learning Experience with System Integration We prefer: Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline Experience with sensor data processing (Lidar, camera, or radar) Experience 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 $213,000-$263,000 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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team. You will: Transition low-level Perception tasks from algorithms to machine learning Work on system integration and optimization Evaluate task-level and system-level quality, developing new metrics as needed You have: Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 5+ years of industry experience Strong C/C++ skills Proficiency with Python Experience with Computer Vision and Machine Learning Experience with System Integration We prefer: Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline Experience with sensor data processing (Lidar, camera, or radar) Experience 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 $213,000-$263,000 USD
09/23/2026
Full time
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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team. You will: Transition low-level Perception tasks from algorithms to machine learning Work on system integration and optimization Evaluate task-level and system-level quality, developing new metrics as needed You have: Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 5+ years of industry experience Strong C/C++ skills Proficiency with Python Experience with Computer Vision and Machine Learning Experience with System Integration We prefer: Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline Experience with sensor data processing (Lidar, camera, or radar) Experience 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 $213,000-$263,000 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 Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager of Finance,Indirect Procurement & HR Systems. We are seeking a SAP Finance System Architect & Automation Lead to serve as the primary functional authority and strategic leader for our enterprise financial platform. In this role, you will define, design, and own the multi-year technology roadmap across our SAP S/4HANA, Group Reporting, Ariba. Sitting at the intersection of complex monetization models,compliance, and enterprise automation, you will drive the roll out of clean-core S/4HANA architecture while actively deploying next-generation SAP Business AI tools to scale our global financial operations. You will: Strategic Roadmap & System Architecture : Act as the global Subject Matter Expert (SME) and architect for SAP FICO, Group Reporting, and Ariba. Define system vision and evaluate long-term scalability. Deep Functional Expertise in SAP FICO: Extensive knowledge of General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), and Cost Center/Profit Center Accounting (CCA/PCA), Profitability Analysis and Product Costing. AI & Continuous Automation: Drive the evaluation and rollout of embedded SAP Business AI capabilities including SAP Joule conversational AI and automated cash application ML models. Enterprise Lead Architect: This role is strategically positioned to drive the complete transformation and modernization of our entire financial ecosystem, moving beyond incremental improvements to fundamentally redefine how our financial processes operate within SAP including key projects for Company Code Expansions, Implementing new planning systems etc. Business Requirements Analysis: Partner with Finance, Accounting, and other cross-functional stakeholders to gather, evaluate, verify, and detail comprehensive business needs into process maps, user stories, and functional specifications. SAP Solutioning & Configuration: Design, build, test, and deploy resilient SAP setups, ensuring close alignment with industry best practices, internal controls, and regulatory standards like IFRS 15/ASC 606. You have: Education: Bachelor's degree in Finance, Accounting, Computer Science, or related field (Master's / MBA preferred). Experience: Minimum of 10+ years of experience working as Finance System Architect or Consultant with a primary focus on SAP FICO and Ariba. Life cycle Mastery: Proven track record leading at least 2 full-life cycle SAP implementations (S/4HANA Cloud preferred). Core FICO Depth: Expert-level configuration knowledge across GL, AR, AP, AA, CCA/PCA, and CO-PA. Domain Expertise : Hands-on experience with SAP and Ariba We prefer: SAP Group Reporting (S/4HANA) / EC-CS: Experience with legal and management consolidation processes. SAP Planning & Consolidation (BPC) / SAC Planning: Proficiency in financial budgeting, forecasting, and planning processes and tools. Technical & Analytical Skills: Excellent analytical, problem-solving, and critical thinking skills. Ability to read and understand ABAP code is a strong plus. 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 $196,000-$248,000 USD
09/23/2026
Full time
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 Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager of Finance,Indirect Procurement & HR Systems. We are seeking a SAP Finance System Architect & Automation Lead to serve as the primary functional authority and strategic leader for our enterprise financial platform. In this role, you will define, design, and own the multi-year technology roadmap across our SAP S/4HANA, Group Reporting, Ariba. Sitting at the intersection of complex monetization models,compliance, and enterprise automation, you will drive the roll out of clean-core S/4HANA architecture while actively deploying next-generation SAP Business AI tools to scale our global financial operations. You will: Strategic Roadmap & System Architecture : Act as the global Subject Matter Expert (SME) and architect for SAP FICO, Group Reporting, and Ariba. Define system vision and evaluate long-term scalability. Deep Functional Expertise in SAP FICO: Extensive knowledge of General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), and Cost Center/Profit Center Accounting (CCA/PCA), Profitability Analysis and Product Costing. AI & Continuous Automation: Drive the evaluation and rollout of embedded SAP Business AI capabilities including SAP Joule conversational AI and automated cash application ML models. Enterprise Lead Architect: This role is strategically positioned to drive the complete transformation and modernization of our entire financial ecosystem, moving beyond incremental improvements to fundamentally redefine how our financial processes operate within SAP including key projects for Company Code Expansions, Implementing new planning systems etc. Business Requirements Analysis: Partner with Finance, Accounting, and other cross-functional stakeholders to gather, evaluate, verify, and detail comprehensive business needs into process maps, user stories, and functional specifications. SAP Solutioning & Configuration: Design, build, test, and deploy resilient SAP setups, ensuring close alignment with industry best practices, internal controls, and regulatory standards like IFRS 15/ASC 606. You have: Education: Bachelor's degree in Finance, Accounting, Computer Science, or related field (Master's / MBA preferred). Experience: Minimum of 10+ years of experience working as Finance System Architect or Consultant with a primary focus on SAP FICO and Ariba. Life cycle Mastery: Proven track record leading at least 2 full-life cycle SAP implementations (S/4HANA Cloud preferred). Core FICO Depth: Expert-level configuration knowledge across GL, AR, AP, AA, CCA/PCA, and CO-PA. Domain Expertise : Hands-on experience with SAP and Ariba We prefer: SAP Group Reporting (S/4HANA) / EC-CS: Experience with legal and management consolidation processes. SAP Planning & Consolidation (BPC) / SAC Planning: Proficiency in financial budgeting, forecasting, and planning processes and tools. Technical & Analytical Skills: Excellent analytical, problem-solving, and critical thinking skills. Ability to read and understand ABAP code is a strong plus. 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 $196,000-$248,000 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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources. This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team. You will: Lead a small team of optimization experts Identify system-level optimization opportunities Optimize existing CPU code Write and review CUDA code Collaborate with ML practitioners to understand their input-processing needs. Be a steward of our compute resources You have: B.Sc in Computer Science, Mathematics or a related field 8+ years of industry experience Strong C++ programming skills Experience with optimizing CPU or GPU code (ideally both) Prior people management experience We prefer: M.Sc or PhD in Computer Science, Mathematics or a related field Experience with system-level optimization Experience with compiler technology. 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 $298,000-$368,000 USD
09/23/2026
Full time
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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources. This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team. You will: Lead a small team of optimization experts Identify system-level optimization opportunities Optimize existing CPU code Write and review CUDA code Collaborate with ML practitioners to understand their input-processing needs. Be a steward of our compute resources You have: B.Sc in Computer Science, Mathematics or a related field 8+ years of industry experience Strong C++ programming skills Experience with optimizing CPU or GPU code (ideally both) Prior people management experience We prefer: M.Sc or PhD in Computer Science, Mathematics or a related field Experience with system-level optimization Experience with compiler technology. 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 $298,000-$368,000 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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources. This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team. You will: Lead a small team of optimization experts Identify system-level optimization opportunities Optimize existing CPU code Write and review CUDA code Collaborate with ML practitioners to understand their input-processing needs. Be a steward of our compute resources You have: B.Sc in Computer Science, Mathematics or a related field 8+ years of industry experience Strong C++ programming skills Experience with optimizing CPU or GPU code (ideally both) Prior people management experience We prefer: M.Sc or PhD in Computer Science, Mathematics or a related field Experience with system-level optimization Experience with compiler technology. 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 $298,000-$368,000 USD
09/23/2026
Full time
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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources. This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team. You will: Lead a small team of optimization experts Identify system-level optimization opportunities Optimize existing CPU code Write and review CUDA code Collaborate with ML practitioners to understand their input-processing needs. Be a steward of our compute resources You have: B.Sc in Computer Science, Mathematics or a related field 8+ years of industry experience Strong C++ programming skills Experience with optimizing CPU or GPU code (ideally both) Prior people management experience We prefer: M.Sc or PhD in Computer Science, Mathematics or a related field Experience with system-level optimization Experience with compiler technology. 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 $298,000-$368,000 USD