Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About The Role The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. While your main focus is analytics, you'll also manage data transformations in dbt when needed. This role requires both technical expertise and client-facing communication skills. You'll also leverage AI tools to 10x your productivity, so a passion for incorporating artificial intelligence into data workflows is essential. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau - depending on client setup Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations Manage and enhance data transformations with dbt where necessary Support clients directly - understand their requirements, translate them into data solutions, and deliver clear insights Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness Use Git for version control and collaboration Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly Leverage AI tools to be 10x more productive than the average analyst Must Have Qualifications Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all 3+ years of SQL experience Experience with Git English C1 level with excellent written and verbal communication Strong analytical skills, proactive problem-solving, and close attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and the ability to learn new ways of working are essential Nice to Have Knowledge of Google Analytics (for business understanding) Knowledge of Google Analytics Data Streams 2+ years dbt experience in analytics workflows Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.) Understanding of Marketing Mix Modeling (MMM) concepts What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Extremely fun & open startup environment Professional development reimbursement
04/02/2026
Full time
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About The Role The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. While your main focus is analytics, you'll also manage data transformations in dbt when needed. This role requires both technical expertise and client-facing communication skills. You'll also leverage AI tools to 10x your productivity, so a passion for incorporating artificial intelligence into data workflows is essential. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau - depending on client setup Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations Manage and enhance data transformations with dbt where necessary Support clients directly - understand their requirements, translate them into data solutions, and deliver clear insights Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness Use Git for version control and collaboration Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly Leverage AI tools to be 10x more productive than the average analyst Must Have Qualifications Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all 3+ years of SQL experience Experience with Git English C1 level with excellent written and verbal communication Strong analytical skills, proactive problem-solving, and close attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and the ability to learn new ways of working are essential Nice to Have Knowledge of Google Analytics (for business understanding) Knowledge of Google Analytics Data Streams 2+ years dbt experience in analytics workflows Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.) Understanding of Marketing Mix Modeling (MMM) concepts What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Extremely fun & open startup environment Professional development reimbursement
A leading global consulting firm is seeking an Enterprise Solution Architect to drive modernization and manage services for IBM iSeries systems. You will engage clients, lead presales discussions, and design scalable solutions. Candidates should have a minimum of 8 years in technology, with expertise in IBM iSeries systems, and experience in operational efficiencies. The role requires strong communication skills to translate technical solutions into business value, along with collaborative engagement across sales and delivery teams.
04/02/2026
Full time
A leading global consulting firm is seeking an Enterprise Solution Architect to drive modernization and manage services for IBM iSeries systems. You will engage clients, lead presales discussions, and design scalable solutions. Candidates should have a minimum of 8 years in technology, with expertise in IBM iSeries systems, and experience in operational efficiencies. The role requires strong communication skills to translate technical solutions into business value, along with collaborative engagement across sales and delivery teams.
We Are: Navisite, part of Accenture, has evolved to become a trusted digital transformation partner for growing and established global brands. We provide global capabilities, customer centric solutions, and flexible approaches that are specifically rightsized for the needs of mid market and small enterprise customers. This team specializes in digital transformation and managed services with deep expertise in cloud, infrastructure and application services dedicated to assisting clients in building a strong digital core. With experience across multiple cloud providers, enterprise applications and digital technologies, Navisite serves clients in the health and industrial, life sciences, technology, consumer goods and retail industries. Given their customer centric solutions and flexible approaches, this team is adept at scaling our services for clients seeking to modernize and build more agile, resilient, and scalable businesses. The Navisite team of more than 1,400 members globally joined Accenture in January 2024. As part of Accenture, you will be working with an ambitious, collaborative team more empowered than ever to help customers modernize their IT for the AI era. You Are: An Enterprise Solution Architect with deep expertise in IBM iSeries (AS/400) systems, including RPG based applications, DB2/400, middleware integrations, system operations, modernization frameworks, and managed services delivery models. You excel at engaging prospective customers, diagnosing legacy platform challenges, and shaping modern, scalable solutions across operations, automation, modernization, and cloud adjacent technologies. You operate confidently in presales environments-partnering with sales teams, leading technical discussions, and translating business requirements into executable architectures. You can independently design complex iSeries solutions while also co creating outcomes collaboratively with clients and internal delivery teams. The Work: The primary responsibility of this role is to function as a Solution Architect across a variety of opportunities-from small focused workstreams to large, multi tower transformation programs involving Application Managed Services and Professional Services for IBM iSeries environments. You will leverage deep solutioning and delivery experience across IBM iSeries operations, modernization, integration, high availability, batch processing, security, and maintenance models. You will help clients understand modernization pathways, operational efficiency opportunities, and the future state roadmap for their mission critical AS/400 workloads. This role requires strong architectural thinking, hands on understanding of IBM i technology stacks, familiarity with hybrid modernization patterns, and the ability to articulate value clearly to senior stakeholders. Lead Pre Sales Architecture & Solutioning for IBM iSeries: Lead the design, development, and solution architecture for IBM iSeries/AS400 managed services, application support, modernization pathways, and operations transformation during the presales cycle. Architect end to end delivery models covering operations, monitoring, HA/DR, patching, maintenance, batch orchestration, security, and integration workflows. Design modernization options such as APIs, microservices integration layers, database refactoring, and refactoring/replatforming strategies. Represent the Solution to Senior Stakeholders: Serve as the primary architectural voice in discussions with Operating Group leadership, sales executives, senior client buyers, and functional owners. Present iSeries solution approaches, performance models, risk assessments, delivery structures, and modernization roadmaps in a compelling and business aligned narrative. Drive Technology Delivery Sign Off & Governance: Drive the required Technology Delivery approvals-aligning scope, solution risks, assumptions, cost models, SLAs, and delivery feasibility with Operating Group leadership. Ensure all proposed solutions reflect established organizational standards, industry best practices, and client constraints. Collaborate Across Sales, SMEs, and Delivery: Work closely with sales teams, IBM iSeries SMEs, application architects, DBAs, and delivery leaders to validate scope and feasibility. Collaborate with delivery teams to ensure effective transition planning, resource estimation, and operational readiness. Promote Standards, Compliance & Methodology: Promote the use of standardized solution components by coordinating with Legal, Commercial, and Corporate Development Transaction Services. Provide input on contractual terms, service definitions, SLAs, and operational commitments. Assess Client Environments & Recommend Improvements: Conduct deep dive assessments of customer IBM i environments, including OS versions, hardware configurations, DB2/400 structures, security models, and technical debt. Recommend operational improvements, automation opportunities, cost optimizations, and modernization pathways (API enablement, container adjacency, cloud integration). Support Delivery Alignment & Deal Stabilization: Partner with Technology leadership to identify the correct delivery Points of Contact. Travel may range from 0% to 100% depending on deal stage, client discussions, and business need. Here's what you need: Minimum 8 years in a technology environment with strong focus on managed services, outsourcing, or systems integration. Minimum 5 years in solution planning, deal shaping, presales engineering, or enterprise solution architecture. Minimum 5 years of hands on technical experience with IBM iSeries/AS400, including system administration, application operations, DB2/400 management, or integration. Bachelor's degree or equivalent (12 years of work experience). If Associate's Degree: 6 years minimum relevant experience required. Bonus Points if: You have strong expertise in IBM iSeries components: OS/400, DB2/400, CL, RPG, BRMS, PowerHA, MIMIX, journaling, batch processing. You have experience in modernization techniques such as: API integration, microservices gateways, database modernization, workflow orchestration. You have knowledge of ITIL processes and how they align to IBM i operations. You have familiarity with scripting, automation, or orchestration tools related to IBM i environments. You have experience presenting technical solutions in presales or consulting roles. You have excellent communication skills, with ability to translate technical concepts into business value. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on going basis and there is no fixed deadline to apply. Information on benefits is here. () Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement () Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. . click apply for full job details
04/02/2026
Full time
We Are: Navisite, part of Accenture, has evolved to become a trusted digital transformation partner for growing and established global brands. We provide global capabilities, customer centric solutions, and flexible approaches that are specifically rightsized for the needs of mid market and small enterprise customers. This team specializes in digital transformation and managed services with deep expertise in cloud, infrastructure and application services dedicated to assisting clients in building a strong digital core. With experience across multiple cloud providers, enterprise applications and digital technologies, Navisite serves clients in the health and industrial, life sciences, technology, consumer goods and retail industries. Given their customer centric solutions and flexible approaches, this team is adept at scaling our services for clients seeking to modernize and build more agile, resilient, and scalable businesses. The Navisite team of more than 1,400 members globally joined Accenture in January 2024. As part of Accenture, you will be working with an ambitious, collaborative team more empowered than ever to help customers modernize their IT for the AI era. You Are: An Enterprise Solution Architect with deep expertise in IBM iSeries (AS/400) systems, including RPG based applications, DB2/400, middleware integrations, system operations, modernization frameworks, and managed services delivery models. You excel at engaging prospective customers, diagnosing legacy platform challenges, and shaping modern, scalable solutions across operations, automation, modernization, and cloud adjacent technologies. You operate confidently in presales environments-partnering with sales teams, leading technical discussions, and translating business requirements into executable architectures. You can independently design complex iSeries solutions while also co creating outcomes collaboratively with clients and internal delivery teams. The Work: The primary responsibility of this role is to function as a Solution Architect across a variety of opportunities-from small focused workstreams to large, multi tower transformation programs involving Application Managed Services and Professional Services for IBM iSeries environments. You will leverage deep solutioning and delivery experience across IBM iSeries operations, modernization, integration, high availability, batch processing, security, and maintenance models. You will help clients understand modernization pathways, operational efficiency opportunities, and the future state roadmap for their mission critical AS/400 workloads. This role requires strong architectural thinking, hands on understanding of IBM i technology stacks, familiarity with hybrid modernization patterns, and the ability to articulate value clearly to senior stakeholders. Lead Pre Sales Architecture & Solutioning for IBM iSeries: Lead the design, development, and solution architecture for IBM iSeries/AS400 managed services, application support, modernization pathways, and operations transformation during the presales cycle. Architect end to end delivery models covering operations, monitoring, HA/DR, patching, maintenance, batch orchestration, security, and integration workflows. Design modernization options such as APIs, microservices integration layers, database refactoring, and refactoring/replatforming strategies. Represent the Solution to Senior Stakeholders: Serve as the primary architectural voice in discussions with Operating Group leadership, sales executives, senior client buyers, and functional owners. Present iSeries solution approaches, performance models, risk assessments, delivery structures, and modernization roadmaps in a compelling and business aligned narrative. Drive Technology Delivery Sign Off & Governance: Drive the required Technology Delivery approvals-aligning scope, solution risks, assumptions, cost models, SLAs, and delivery feasibility with Operating Group leadership. Ensure all proposed solutions reflect established organizational standards, industry best practices, and client constraints. Collaborate Across Sales, SMEs, and Delivery: Work closely with sales teams, IBM iSeries SMEs, application architects, DBAs, and delivery leaders to validate scope and feasibility. Collaborate with delivery teams to ensure effective transition planning, resource estimation, and operational readiness. Promote Standards, Compliance & Methodology: Promote the use of standardized solution components by coordinating with Legal, Commercial, and Corporate Development Transaction Services. Provide input on contractual terms, service definitions, SLAs, and operational commitments. Assess Client Environments & Recommend Improvements: Conduct deep dive assessments of customer IBM i environments, including OS versions, hardware configurations, DB2/400 structures, security models, and technical debt. Recommend operational improvements, automation opportunities, cost optimizations, and modernization pathways (API enablement, container adjacency, cloud integration). Support Delivery Alignment & Deal Stabilization: Partner with Technology leadership to identify the correct delivery Points of Contact. Travel may range from 0% to 100% depending on deal stage, client discussions, and business need. Here's what you need: Minimum 8 years in a technology environment with strong focus on managed services, outsourcing, or systems integration. Minimum 5 years in solution planning, deal shaping, presales engineering, or enterprise solution architecture. Minimum 5 years of hands on technical experience with IBM iSeries/AS400, including system administration, application operations, DB2/400 management, or integration. Bachelor's degree or equivalent (12 years of work experience). If Associate's Degree: 6 years minimum relevant experience required. Bonus Points if: You have strong expertise in IBM iSeries components: OS/400, DB2/400, CL, RPG, BRMS, PowerHA, MIMIX, journaling, batch processing. You have experience in modernization techniques such as: API integration, microservices gateways, database modernization, workflow orchestration. You have knowledge of ITIL processes and how they align to IBM i operations. You have familiarity with scripting, automation, or orchestration tools related to IBM i environments. You have experience presenting technical solutions in presales or consulting roles. You have excellent communication skills, with ability to translate technical concepts into business value. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on going basis and there is no fixed deadline to apply. Information on benefits is here. () Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement () Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. . click apply for full job details
A cybersecurity firm is seeking a senior product marketing manager to drive their go-to-market strategy and execution. The role involves developing marketing content, coordinating plans, and engaging with stakeholders in the cybersecurity landscape. Candidates should have 5-10 years of PMM experience and a strong background in cybersecurity. The position offers a competitive salary ranging from $109,000 to $191,000 and can be remote with West Coast hours.
04/02/2026
Full time
A cybersecurity firm is seeking a senior product marketing manager to drive their go-to-market strategy and execution. The role involves developing marketing content, coordinating plans, and engaging with stakeholders in the cybersecurity landscape. Candidates should have 5-10 years of PMM experience and a strong background in cybersecurity. The position offers a competitive salary ranging from $109,000 to $191,000 and can be remote with West Coast hours.
Mountain View, California, United States About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) TBD About the role The Firmware team within Vehicle OS architect the foundation of tomorrow's intelligent vehicles. The team develops critical embedded systems powering Applied Intuition's revolutionary Vehicle OS platform, transforming how global automakers build software defined vehicles. Engineers work with real time operating systems, board support packages, and hardware abstraction layers to enable next generation automotive experiences and intelligent vehicle software platforms. As Engineering Manager, Firmware, you will lead a team of talented engineers building embedded C/C++ systems, RTOS implementations, and low level hardware integrations. Your team's work will directly impact how vehicles sense, process, and respond to complex environments and industry demands. At Applied Intuition, you will Manage and mentor a team developing core firmware solutions for Vehicle OS. Drive technical execution, architecture, and hands on development of embedded systems, including Linux, QNX, and hardware abstraction. Guide the integration of sensors and hardware with real time firmware and board support packages. Partner with product, hardware, and software teams to deliver reliable, production grade automotive software. Execute firmware and low level software code reviews and provide technical leadership. Set a compelling roadmap for firmware innovation, balancing speed, technical quality, and team productivity. Contribute to recruiting efforts, team building, and ongoing mentoring. We're looking for someone who has Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, preferably from top programs (Stanford, Berkeley, CMU, Waterloo, or similar). Significant experience in embedded firmware or low level RTOS development. Hands on background with ADAS, Linux Kernel, QNX, and sensor integration. Strong programming skills in C/C++ with expertise in hardware/software co design. Track record of code reviews and technical leadership; direct coding experience is a strong plus Experience in software project management and technical documentation. Nice to have Experience with cloud connected vehicle platforms, SDV architectures, and AI driven automotive applications. Prior experience in technical sales support or application engineering for embedded software products. Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling (DaVinci, Tresos, Vector, etc.). Background in electrical/electronic architecture and software integration in modern vehicles. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
04/02/2026
Full time
Mountain View, California, United States About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) TBD About the role The Firmware team within Vehicle OS architect the foundation of tomorrow's intelligent vehicles. The team develops critical embedded systems powering Applied Intuition's revolutionary Vehicle OS platform, transforming how global automakers build software defined vehicles. Engineers work with real time operating systems, board support packages, and hardware abstraction layers to enable next generation automotive experiences and intelligent vehicle software platforms. As Engineering Manager, Firmware, you will lead a team of talented engineers building embedded C/C++ systems, RTOS implementations, and low level hardware integrations. Your team's work will directly impact how vehicles sense, process, and respond to complex environments and industry demands. At Applied Intuition, you will Manage and mentor a team developing core firmware solutions for Vehicle OS. Drive technical execution, architecture, and hands on development of embedded systems, including Linux, QNX, and hardware abstraction. Guide the integration of sensors and hardware with real time firmware and board support packages. Partner with product, hardware, and software teams to deliver reliable, production grade automotive software. Execute firmware and low level software code reviews and provide technical leadership. Set a compelling roadmap for firmware innovation, balancing speed, technical quality, and team productivity. Contribute to recruiting efforts, team building, and ongoing mentoring. We're looking for someone who has Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, preferably from top programs (Stanford, Berkeley, CMU, Waterloo, or similar). Significant experience in embedded firmware or low level RTOS development. Hands on background with ADAS, Linux Kernel, QNX, and sensor integration. Strong programming skills in C/C++ with expertise in hardware/software co design. Track record of code reviews and technical leadership; direct coding experience is a strong plus Experience in software project management and technical documentation. Nice to have Experience with cloud connected vehicle platforms, SDV architectures, and AI driven automotive applications. Prior experience in technical sales support or application engineering for embedded software products. Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling (DaVinci, Tresos, Vector, etc.). Background in electrical/electronic architecture and software integration in modern vehicles. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Samsung Research America
Mountain View, California
A leading technology firm in Mountain View is seeking an experienced engineer in robotics to advance AI technologies. This position involves designing robotic systems for real-world applications, integrating cutting-edge hardware, and testing algorithms. The ideal candidate will hold a PhD and have a strong background in robotics R&D. The competitive salary range is $179,200 - $246,150 annually with additional benefits.
04/02/2026
Full time
A leading technology firm in Mountain View is seeking an experienced engineer in robotics to advance AI technologies. This position involves designing robotic systems for real-world applications, integrating cutting-edge hardware, and testing algorithms. The ideal candidate will hold a PhD and have a strong background in robotics R&D. The competitive salary range is $179,200 - $246,150 annually with additional benefits.
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 models allow 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, allowing ML practitioners like you to develop multi-modal models and techniques at scale. You will report to our Head of Perception. You will: Work closely with Perception engineers to understand their workflows and systems, with the goal of increasing development velocity. Act as a crucial bridge between Perception and all infrastructure teams to ensure optimal resource sharing and performance for scaling. Drive multi-year roadmaps for Perception systems, anticipating future scale based on business and technology roadmaps. Lead system design in collaboration with both infrastructure teams and Perception users. You have: 15+ years of progressive experience in software engineering, with extensive experience in a technical leadership role. A strong track record of designing and building large-scale systems that support ML development, with very large-scale data and worker payloads. 6+ years of experience in a technical leadership role, guiding teams and setting the technical direction within large engineering organizations. A proven history of solving users' needs end-to-end, working backward from user requirements to design and evolve complex systems. We prefer: Experience driving cross-organizational efforts to transition large systems through major evolutions while supporting high production demands. Expertise in modern ML data, training, and evaluation systems for large models. Experience with budget management (e.g., compute, storage, memory) for workflows that support hundreds of developers. Salary Range 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. $332,000-$421,000 USD 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.
04/02/2026
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 models allow 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, allowing ML practitioners like you to develop multi-modal models and techniques at scale. You will report to our Head of Perception. You will: Work closely with Perception engineers to understand their workflows and systems, with the goal of increasing development velocity. Act as a crucial bridge between Perception and all infrastructure teams to ensure optimal resource sharing and performance for scaling. Drive multi-year roadmaps for Perception systems, anticipating future scale based on business and technology roadmaps. Lead system design in collaboration with both infrastructure teams and Perception users. You have: 15+ years of progressive experience in software engineering, with extensive experience in a technical leadership role. A strong track record of designing and building large-scale systems that support ML development, with very large-scale data and worker payloads. 6+ years of experience in a technical leadership role, guiding teams and setting the technical direction within large engineering organizations. A proven history of solving users' needs end-to-end, working backward from user requirements to design and evolve complex systems. We prefer: Experience driving cross-organizational efforts to transition large systems through major evolutions while supporting high production demands. Expertise in modern ML data, training, and evaluation systems for large models. Experience with budget management (e.g., compute, storage, memory) for workflows that support hundreds of developers. Salary Range 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. $332,000-$421,000 USD 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.
Software Engineering Manager - Firmware Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. About the Role The Firmware team within Vehicle OS architect the foundation of tomorrow's intelligent vehicles. The team develops critical embedded systems powering Applied Intuition's revolutionary Vehicle OS platform, transforming how global automakers build software defined vehicles. Engineers work with real time operating systems, board support packages, and hardware abstraction layers to enable next generation automotive experiences and intelligent vehicle software platforms. As Engineering Manager, Firmware, you will lead a team of talented engineers building embedded C/C++ systems, RTOS implementations, and low-level hardware integrations. Your team's work will directly impact how vehicles sense, process, and respond to complex environments and industry demands. Responsibilities Manage and mentor a team developing core firmware solutions for Vehicle OS. Drive technical execution, architecture, and hands on development of embedded systems, including Linux, QNX, and hardware abstraction. Guide the integration of sensors and hardware with real time firmware and board support packages. Partner with product, hardware, and software teams to deliver reliable, production grade automotive software. Execute firmware and low level software code reviews and provide technical leadership. Set a compelling roadmap for firmware innovation, balancing speed, technical quality, and team productivity. Contribute to recruiting efforts, team building, and ongoing mentoring. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, preferably from top programs (Stanford, Berkeley, CMU, Waterloo, or similar). Significant experience in embedded firmware or low-level RTOS development. Hands on background with ADAS, Linux Kernel, QNX, and sensor integration. Strong programming skills in C/C++ with expertise in hardware/software co design. Track record of code reviews and technical leadership; direct coding experience is a strong plus. Experience in software project management and technical documentation. Nice to Have Experience with cloud connected vehicle platforms, SDV architectures, and AI driven automotive applications. Prior experience in technical sales support or application engineering for embedded software products. Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling (DaVinci, Tresos, Vector, etc.). Background in electrical/electronic architecture and software integration in modern vehicles. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Equal Opportunity Employer Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
04/02/2026
Full time
Software Engineering Manager - Firmware Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. About the Role The Firmware team within Vehicle OS architect the foundation of tomorrow's intelligent vehicles. The team develops critical embedded systems powering Applied Intuition's revolutionary Vehicle OS platform, transforming how global automakers build software defined vehicles. Engineers work with real time operating systems, board support packages, and hardware abstraction layers to enable next generation automotive experiences and intelligent vehicle software platforms. As Engineering Manager, Firmware, you will lead a team of talented engineers building embedded C/C++ systems, RTOS implementations, and low-level hardware integrations. Your team's work will directly impact how vehicles sense, process, and respond to complex environments and industry demands. Responsibilities Manage and mentor a team developing core firmware solutions for Vehicle OS. Drive technical execution, architecture, and hands on development of embedded systems, including Linux, QNX, and hardware abstraction. Guide the integration of sensors and hardware with real time firmware and board support packages. Partner with product, hardware, and software teams to deliver reliable, production grade automotive software. Execute firmware and low level software code reviews and provide technical leadership. Set a compelling roadmap for firmware innovation, balancing speed, technical quality, and team productivity. Contribute to recruiting efforts, team building, and ongoing mentoring. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, preferably from top programs (Stanford, Berkeley, CMU, Waterloo, or similar). Significant experience in embedded firmware or low-level RTOS development. Hands on background with ADAS, Linux Kernel, QNX, and sensor integration. Strong programming skills in C/C++ with expertise in hardware/software co design. Track record of code reviews and technical leadership; direct coding experience is a strong plus. Experience in software project management and technical documentation. Nice to Have Experience with cloud connected vehicle platforms, SDV architectures, and AI driven automotive applications. Prior experience in technical sales support or application engineering for embedded software products. Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling (DaVinci, Tresos, Vector, etc.). Background in electrical/electronic architecture and software integration in modern vehicles. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Equal Opportunity Employer Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
A leading data organization is seeking a Lead Security Architect to shape the security strategy across multi-cloud platforms. The role involves designing secure architectures, enforcing compliance, and mentoring other engineers. Candidates should have extensive cybersecurity experience, including architecture roles, and must hold a Bachelor's degree in a relevant field. Competitive compensation and benefits are offered.
04/02/2026
Full time
A leading data organization is seeking a Lead Security Architect to shape the security strategy across multi-cloud platforms. The role involves designing secure architectures, enforcing compliance, and mentoring other engineers. Candidates should have extensive cybersecurity experience, including architecture roles, and must hold a Bachelor's degree in a relevant field. Competitive compensation and benefits are offered.
A leading AI infrastructure company is seeking a Senior Solution Architect to design innovative GPU cloud and AI solutions. In this role, you'll engage with enterprise and hyperscaler customers, leading proof-of-concepts and technical deployments. The ideal candidate has 5-10 years of experience in cloud infrastructure and a strong foundation in AI/ML technologies. Join a fast-growing team that partners closely with top-tier organizations and influences advanced AI deployments across North America.
04/02/2026
Full time
A leading AI infrastructure company is seeking a Senior Solution Architect to design innovative GPU cloud and AI solutions. In this role, you'll engage with enterprise and hyperscaler customers, leading proof-of-concepts and technical deployments. The ideal candidate has 5-10 years of experience in cloud infrastructure and a strong foundation in AI/ML technologies. Join a fast-growing team that partners closely with top-tier organizations and influences advanced AI deployments across North America.
Software Engineering Manager, ReliabilitySoftware Engineering Manager, Reliability Get AI-powered advice on this job and more exclusive features. Direct message the job poster from LinkedIn LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: • Lead, coach and manage core team of engineers. • Participate with senior management in developing a long-term technology roadmap for the team and company. • Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. • Communicate and collaborate effectively with stakeholders across engineering and business leadership. • Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. • Drive a culture of operational excellence. • Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. • Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training. • 5+ years of industry experience in software design, development, and large-scale distributed systems. Preferred Qualifications: • MS or PhD in Computer Science or related technical discipline. • 2+ years of hands-on software engineering/technical management and people management experience • 7+ years of industry experience in software design, development, and large-scale distributed systems. • 5+ years programming experience in languages such as Java, C++, Python, or Go. • Experience in architecting, building, and running large-scale distributed systems. Suggested Skills: • Technical Leadership • Software Development • Software & System Design and Architecture • Stakeholder Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152,000 to $248,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function IndustriesTechnology, Information and Internet and IT Services and IT Consulting Referrals increase your chances of interviewing at LinkedIn by 2x Get notified about new Reliability Engineering Manager jobs in Mountain View, CA . Sunnyvale, CA $208,000.00-$416,000.00 4 days ago Mountain View, CA $297,000.00-$402,000.00 2 days ago Director of Software Engineering (AI Ops) San Jose, CA $233,200.00-$311,300.00 1 week ago San Jose, CA $179,300.00-$354,600.00 1 week ago Software Engineering Manager, Systems and Infrastructure Menlo Park, CA $259,100.00-$388,700.00 2 weeks ago Manager, Software Engineering, Reliability Mountain View, CA $152,000.00-$248,000.00 3 days ago Sunnyvale, CA $218,000.00-$357,000.00 1 week ago Sunnyvale, CA $169,000.00-$338,000.00 5 days ago Director, Engineering - Power and Performance SoftwareManager, Software Engineering - Premium Team Mountain View, CA $147,000.00-$240,000.00 1 week ago Manager, Software Engineering, Observability Mountain View, CA $147,000.00-$240,000.00 4 days ago Manager, Software Engineering - Agents Platform Sunnyvale, CA $261,000.00-$313,000.00 2 weeks ago Palo Alto, CA $270,000.00-$310,000.00 2 weeks ago San Mateo, CA $201,400.00-$302,000.00 3 weeks ago Head of ML/AI Exploration, Architecture, & Engineering Mountain View, CA $248,000.00-$345,000.00 2 weeks ago Mountain View, CA $231,000.00-$312,000.00 4 days ago San Jose, CA $207,500.00-$276,700.00 1 week ago Sunnyvale, CA $264,000.00-$342,000.00 3 days ago Menlo Park, CA $264,000.00-$342,000.00 2 weeks ago Mountain View, CA $231,000.00-$312,000.00 3 days ago Mountain View, CA $238,500.00-$322,500.00 1 day ago Director, ADAS Perception Software Engineering and Machine Learning Sunnyvale, CA $197,000.00-$291,000.00 1 week ago Menlo Park, CA $243,000.00-$379,500.00 2 weeks ago San Mateo, CA $391,590.00-$448,990.00 1 week ago Manager, Software Engineering, Media Platform Palo Alto, CA $195,000.00-$343,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Software Engineering Manager, ReliabilitySoftware Engineering Manager, Reliability Get AI-powered advice on this job and more exclusive features. Direct message the job poster from LinkedIn LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: • Lead, coach and manage core team of engineers. • Participate with senior management in developing a long-term technology roadmap for the team and company. • Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. • Communicate and collaborate effectively with stakeholders across engineering and business leadership. • Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. • Drive a culture of operational excellence. • Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. • Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training. • 5+ years of industry experience in software design, development, and large-scale distributed systems. Preferred Qualifications: • MS or PhD in Computer Science or related technical discipline. • 2+ years of hands-on software engineering/technical management and people management experience • 7+ years of industry experience in software design, development, and large-scale distributed systems. • 5+ years programming experience in languages such as Java, C++, Python, or Go. • Experience in architecting, building, and running large-scale distributed systems. Suggested Skills: • Technical Leadership • Software Development • Software & System Design and Architecture • Stakeholder Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152,000 to $248,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function IndustriesTechnology, Information and Internet and IT Services and IT Consulting Referrals increase your chances of interviewing at LinkedIn by 2x Get notified about new Reliability Engineering Manager jobs in Mountain View, CA . Sunnyvale, CA $208,000.00-$416,000.00 4 days ago Mountain View, CA $297,000.00-$402,000.00 2 days ago Director of Software Engineering (AI Ops) San Jose, CA $233,200.00-$311,300.00 1 week ago San Jose, CA $179,300.00-$354,600.00 1 week ago Software Engineering Manager, Systems and Infrastructure Menlo Park, CA $259,100.00-$388,700.00 2 weeks ago Manager, Software Engineering, Reliability Mountain View, CA $152,000.00-$248,000.00 3 days ago Sunnyvale, CA $218,000.00-$357,000.00 1 week ago Sunnyvale, CA $169,000.00-$338,000.00 5 days ago Director, Engineering - Power and Performance SoftwareManager, Software Engineering - Premium Team Mountain View, CA $147,000.00-$240,000.00 1 week ago Manager, Software Engineering, Observability Mountain View, CA $147,000.00-$240,000.00 4 days ago Manager, Software Engineering - Agents Platform Sunnyvale, CA $261,000.00-$313,000.00 2 weeks ago Palo Alto, CA $270,000.00-$310,000.00 2 weeks ago San Mateo, CA $201,400.00-$302,000.00 3 weeks ago Head of ML/AI Exploration, Architecture, & Engineering Mountain View, CA $248,000.00-$345,000.00 2 weeks ago Mountain View, CA $231,000.00-$312,000.00 4 days ago San Jose, CA $207,500.00-$276,700.00 1 week ago Sunnyvale, CA $264,000.00-$342,000.00 3 days ago Menlo Park, CA $264,000.00-$342,000.00 2 weeks ago Mountain View, CA $231,000.00-$312,000.00 3 days ago Mountain View, CA $238,500.00-$322,500.00 1 day ago Director, ADAS Perception Software Engineering and Machine Learning Sunnyvale, CA $197,000.00-$291,000.00 1 week ago Menlo Park, CA $243,000.00-$379,500.00 2 weeks ago San Mateo, CA $391,590.00-$448,990.00 1 week ago Manager, Software Engineering, Media Platform Palo Alto, CA $195,000.00-$343,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Senior Solution Architect - AI / GPU Cloud We are seeking a Senior Solution Architect to design GPU cloud and AI infrastructure solutions, lead PoCs and benchmarks, guide customers through deployment, and partner closely with engineering and operations teams at GMI Cloud. About GMI Cloud GMI Cloud is a fast growing AI infrastructure company backed by Headline VC. We operate hundreds of megawatts of AI ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. Role Overview As a Solution Architect, you will be the primary technical interface for our enterprise and hyperscaler accounts and help customers build AI without limits. Key Responsibilities Serve as the primary technical point of contact for enterprise and hyperscaler customers. Deeply understand customer AI/ML/HPC workloads, scaling requirements, and deployment models. Architect GPU clusters, storage, networking, and orchestration solutions tailored to customer needs. Lead proof of concepts, benchmarks, and workshops demonstrating performance, reliability, and scalability. Produce technical proposals, architecture diagrams, capacity plans, and cost/performance recommendations. Translate complex technical issues into clear actions for both engineering and business stakeholders. Guide customers through onboarding, cluster setup, performance tuning, and scaling. Partner with internal infra, DC ops, and engineering teams to ensure smooth delivery and implementation. Identify optimization opportunities in customer workloads (GPU utilization, networking, scheduling, cost). Act as a trusted advisor on GPU/AI infrastructure best practices, roadmap, and long term planning. Maintain regular technical check ins, capacity reviews, and performance reviews with customers. Gather customer feedback and collaborate with product/engineering to improve our platform. Required Qualifications Technical Background 5-10+ years in cloud infrastructure, GPU cloud, HPC, AI/ML infrastructure, or data center engineering. Strong understanding of distributed training & inference architectures, Kubernetes, Slurm, or other cluster/orchestration systems, NVIDIA GPU stack (H100/H200/B200/GB200 or similar), InfiniBand/high speed networking, and storage architectures for AI workloads. Customer Facing Skills Experience working directly with enterprise or hyperscaler technical teams. Ability to simplify complex infra concepts for both technical and non technical audiences. Strong communication, solution design, and project coordination skills. Soft Skills Self starter, ownership mindset, excellent follow through. Comfortable working in a fast moving, high growth environment. Strong problem solving and "architect + advisor" mentality. Preferred Qualifications (Nice to Have) Hands on with large scale GPU deployments (multi node, multi cluster). Exposure to hyperscaler capacity planning or AI infrastructure procurement teams. Experience with multi region or global GPU deployments (US + APAC/Taiwan). Why Join GMI Cloud Work directly with some of the world's most advanced AI organizations. Architect and deliver multi MW GPU clusters at global scale. Influence product roadmap and partner closely with NVIDIA and top tier data center providers. High impact role with significant ownership and career growth.
04/02/2026
Full time
Senior Solution Architect - AI / GPU Cloud We are seeking a Senior Solution Architect to design GPU cloud and AI infrastructure solutions, lead PoCs and benchmarks, guide customers through deployment, and partner closely with engineering and operations teams at GMI Cloud. About GMI Cloud GMI Cloud is a fast growing AI infrastructure company backed by Headline VC. We operate hundreds of megawatts of AI ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. Role Overview As a Solution Architect, you will be the primary technical interface for our enterprise and hyperscaler accounts and help customers build AI without limits. Key Responsibilities Serve as the primary technical point of contact for enterprise and hyperscaler customers. Deeply understand customer AI/ML/HPC workloads, scaling requirements, and deployment models. Architect GPU clusters, storage, networking, and orchestration solutions tailored to customer needs. Lead proof of concepts, benchmarks, and workshops demonstrating performance, reliability, and scalability. Produce technical proposals, architecture diagrams, capacity plans, and cost/performance recommendations. Translate complex technical issues into clear actions for both engineering and business stakeholders. Guide customers through onboarding, cluster setup, performance tuning, and scaling. Partner with internal infra, DC ops, and engineering teams to ensure smooth delivery and implementation. Identify optimization opportunities in customer workloads (GPU utilization, networking, scheduling, cost). Act as a trusted advisor on GPU/AI infrastructure best practices, roadmap, and long term planning. Maintain regular technical check ins, capacity reviews, and performance reviews with customers. Gather customer feedback and collaborate with product/engineering to improve our platform. Required Qualifications Technical Background 5-10+ years in cloud infrastructure, GPU cloud, HPC, AI/ML infrastructure, or data center engineering. Strong understanding of distributed training & inference architectures, Kubernetes, Slurm, or other cluster/orchestration systems, NVIDIA GPU stack (H100/H200/B200/GB200 or similar), InfiniBand/high speed networking, and storage architectures for AI workloads. Customer Facing Skills Experience working directly with enterprise or hyperscaler technical teams. Ability to simplify complex infra concepts for both technical and non technical audiences. Strong communication, solution design, and project coordination skills. Soft Skills Self starter, ownership mindset, excellent follow through. Comfortable working in a fast moving, high growth environment. Strong problem solving and "architect + advisor" mentality. Preferred Qualifications (Nice to Have) Hands on with large scale GPU deployments (multi node, multi cluster). Exposure to hyperscaler capacity planning or AI infrastructure procurement teams. Experience with multi region or global GPU deployments (US + APAC/Taiwan). Why Join GMI Cloud Work directly with some of the world's most advanced AI organizations. Architect and deliver multi MW GPU clusters at global scale. Influence product roadmap and partner closely with NVIDIA and top tier data center providers. High impact role with significant ownership and career growth.
Databricks Enterprise Lead Security Architect - Principal IT Software Engineer Join Databricks as a Lead Security Architect and influence the company's security strategy across multi cloud platforms. Responsibilities Design and implement secure, scalable reference architectures for Databricks IT across Cloud Infrastructure, SaaS, Custom Built Applications, and Data & AI systems. Establish and enforce security controls for workspace isolation, Unity Catalog data governance, VPC configurations, PrivateLink, and IP allow lists. Lead IAM strategy: SSO, SCIM provisioning, RBAC, and MFA best practices for enterprise identities. Secure data at rest and in transit using customer managed keys; implement data exfiltration prevention measures. Develop cluster security policies and conduct compliance monitoring for HIPAA, PCI DSS, and FedRAMP. Conduct offensive security tests, threat modeling, and support incident response, vulnerability management, and red team activities. Mentor security engineers and developers on secure design and best practices. Qualifications Bachelor's degree in Computer Science, Information Security, Engineering, or a related field. Preferred: Master's degree in Information Security. Minimum 12 years in cybersecurity with 5+ years in security architecture or senior technical roles. Experience designing and securing complex multi cloud environments (AWS, Azure, GCP). Hands on experience with Terraform, IaC, scripting, and security automation. Deep knowledge of IAM systems (Okta, SailPoint, VDI, Entra ID) and data protection practices. Proficiency with SIEM/XDR, cloud native threat detection, OWASP, API security, and web application security. Certifications such as CISSP, CCSP, CEH, AWS Security Specialty, and/or AWS Solutions Architect - Professional are preferred. Benefits We offer a comprehensive benefits package, equity, performance bonuses, and the opportunity to work with world class data & AI technology. Diversity & Inclusion Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We comply with equal employment opportunity standards. Pay Range Transparency Zone 1 Pay Range: $258,300 - $361,575 USD. Job Information Seniority Level: Mid Senior Level Employment Type: Full time Job Function: Information Technology
04/02/2026
Full time
Databricks Enterprise Lead Security Architect - Principal IT Software Engineer Join Databricks as a Lead Security Architect and influence the company's security strategy across multi cloud platforms. Responsibilities Design and implement secure, scalable reference architectures for Databricks IT across Cloud Infrastructure, SaaS, Custom Built Applications, and Data & AI systems. Establish and enforce security controls for workspace isolation, Unity Catalog data governance, VPC configurations, PrivateLink, and IP allow lists. Lead IAM strategy: SSO, SCIM provisioning, RBAC, and MFA best practices for enterprise identities. Secure data at rest and in transit using customer managed keys; implement data exfiltration prevention measures. Develop cluster security policies and conduct compliance monitoring for HIPAA, PCI DSS, and FedRAMP. Conduct offensive security tests, threat modeling, and support incident response, vulnerability management, and red team activities. Mentor security engineers and developers on secure design and best practices. Qualifications Bachelor's degree in Computer Science, Information Security, Engineering, or a related field. Preferred: Master's degree in Information Security. Minimum 12 years in cybersecurity with 5+ years in security architecture or senior technical roles. Experience designing and securing complex multi cloud environments (AWS, Azure, GCP). Hands on experience with Terraform, IaC, scripting, and security automation. Deep knowledge of IAM systems (Okta, SailPoint, VDI, Entra ID) and data protection practices. Proficiency with SIEM/XDR, cloud native threat detection, OWASP, API security, and web application security. Certifications such as CISSP, CCSP, CEH, AWS Security Specialty, and/or AWS Solutions Architect - Professional are preferred. Benefits We offer a comprehensive benefits package, equity, performance bonuses, and the opportunity to work with world class data & AI technology. Diversity & Inclusion Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We comply with equal employment opportunity standards. Pay Range Transparency Zone 1 Pay Range: $258,300 - $361,575 USD. Job Information Seniority Level: Mid Senior Level Employment Type: Full time Job Function: Information Technology
A leading autonomous driving technology company in Mountain View seeks a Software Engineer to enhance the onboard infrastructure for the Waymo driver. In this hybrid role, you will improve workflows and engineering processes, focusing on high-quality interfaces that enable scalability of the codebase. The ideal candidate has over 5 years of experience in software engineering, expertise in C++, and a passion for developing reliable systems. This role offers a competitive salary between $204,000-$259,000 along with annual bonus and equity incentives.
04/02/2026
Full time
A leading autonomous driving technology company in Mountain View seeks a Software Engineer to enhance the onboard infrastructure for the Waymo driver. In this hybrid role, you will improve workflows and engineering processes, focusing on high-quality interfaces that enable scalability of the codebase. The ideal candidate has over 5 years of experience in software engineering, expertise in C++, and a passion for developing reliable systems. This role offers a competitive salary between $204,000-$259,000 along with annual bonus and equity incentives.
Software Engineering Manager, Google Beam, OS Platform Join to apply for the Software Engineering Manager, Google Beam, OS Platform role at Google. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA. Minimum qualifications Bachelor's degree, or equivalent practical experience. 8 years of experience in systems engineering. 1 year of experience with production systems. 1 year of experience with software development in C++ programming language. Experience with Debugging/Troubleshooting and Test Driven Development. Experience in people management. Preferred qualifications 2 years of experience with cloud or hardware/operating systems (e.g., Google Cloud Platform, Chrome OS, etc.). Experience using Unix/Linux operating systems. About the job Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes. Compensation The US base salary range for this full time position is $197,000-$291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Responsibilities Lead a team dedicated and talented software engineers to build the Beam OS platform powering current and next generation devices. Build the roadmap for the team and manage individual projects priorities, deadlines, and deliverables with your technical expertise. Ensure alignment with production best practices, including fostering a culture of thorough design, technical excellence, innovation, and accountability. Adopt robust practices for triaging and diagnosing issues from multiple sources that may span across multiple teams and technical stacks. Partner closely with Team Leads, Hardware Engineers, Product Management, UX, Technical Program Management, and Operations, and peer engineering leaders to define and align on the product direction. As the team evolves, a production focus mindset is critical. Equal Employment Opportunity Statement Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
04/02/2026
Full time
Software Engineering Manager, Google Beam, OS Platform Join to apply for the Software Engineering Manager, Google Beam, OS Platform role at Google. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA. Minimum qualifications Bachelor's degree, or equivalent practical experience. 8 years of experience in systems engineering. 1 year of experience with production systems. 1 year of experience with software development in C++ programming language. Experience with Debugging/Troubleshooting and Test Driven Development. Experience in people management. Preferred qualifications 2 years of experience with cloud or hardware/operating systems (e.g., Google Cloud Platform, Chrome OS, etc.). Experience using Unix/Linux operating systems. About the job Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes. Compensation The US base salary range for this full time position is $197,000-$291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Responsibilities Lead a team dedicated and talented software engineers to build the Beam OS platform powering current and next generation devices. Build the roadmap for the team and manage individual projects priorities, deadlines, and deliverables with your technical expertise. Ensure alignment with production best practices, including fostering a culture of thorough design, technical excellence, innovation, and accountability. Adopt robust practices for triaging and diagnosing issues from multiple sources that may span across multiple teams and technical stacks. Partner closely with Team Leads, Hardware Engineers, Product Management, UX, Technical Program Management, and Operations, and peer engineering leaders to define and align on the product direction. As the team evolves, a production focus mindset is critical. Equal Employment Opportunity Statement Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
A leading delivery platform is seeking a User Experience Researcher to drive insights on the Commerce Platform. The role involves collaborating with cross-functional teams to conduct high-velocity research. Candidates should have over 5 years of experience in qualitative and quantitative research, including survey design. This hybrid position allows for dynamic interactions with designers, product managers, and strategists, ensuring the best experiences for merchants and consumers alike. Various benefits include a comprehensive package and a supportive work environment.
04/02/2026
Full time
A leading delivery platform is seeking a User Experience Researcher to drive insights on the Commerce Platform. The role involves collaborating with cross-functional teams to conduct high-velocity research. Candidates should have over 5 years of experience in qualitative and quantitative research, including survey design. This hybrid position allows for dynamic interactions with designers, product managers, and strategists, ensuring the best experiences for merchants and consumers alike. Various benefits include a comprehensive package and a supportive work environment.
Samsung Research America
Mountain View, California
Senior Product Manager, Enterprise Mobility AI/ML Are you passionate about transforming bleeding-edge technologies into services that will impact millions in our daily lives? At Mobile Platform Solutions (MPS), we are looking for passionate product managers to share their creative vision and to build applications and services for Samsung's array of devices spanning mobile, wearables, IoT, TVs, appliances, etc. This role is ideal for a product leader with a passion for creating intelligent and secure mobile experiences, particularly within the Android ecosystem, and who brings deep expertise in enterprise mobility, AI/ML framework and applications, and mobile security. In this position, you will join a collaborative team of world-class designers, researchers, and engineers in the field of AI/ML, blockchain, IAM, computer vision, AR/VR/XR, IOT technologies, with emphasis on mobile B2B services, security and privacy, Enterprise AI, etc. Come join the Samsung MPS team and be a leader in bringing futuristic services to life! Position Summary: The Senior Product Manager will work closely with various internal organizations including business development, engineering and designers to define requirements and roadmaps. This is a great opportunity to lead one or more of our Knox enterprise mobility products. The ideal candidate will own the product lifecycle from ideation through launch, focusing on delivering value through innovative AI/ML features, robust security frameworks, and scalable enterprise solutions that meet the needs of modern mobile-first workforces. Position Responsibilities: Lead product strategy and roadmap for Samsung Knox Enterprise mobile solutions that leverage AI/ML to enhance productivity, automation, and user experience Drive cross-functional collaboration with engineering, UX, data science, security, marketing, and sales teams to ensure timely and high-quality product delivery Define clear requirements and user stories with a strong focus on enterprise user personas, security, performance, and compliance Partner closely with data scientists and AI/ML teams to define and implement intelligent features such as context-aware automation, predictive analytics, anomaly detection, and on-device machine learning models Work with industry leading ecosystem partners including OS Platforms, Network & Carriers, ISVs and System Integrators to identify & validate opportunities for Samsung to innovate and increase market share Deeply understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise), security APIs, OS-level capabilities, and OEM integrations Analyze market trends, customer needs, and competitive landscape to identify opportunities Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches Engage with key enterprise customers to gather feedback and validate product direction Serve as a thought leader both internally and externally in enterprise mobility and AI/ML-driven mobile applications Required Skills: Engineering degree in EE, CS, or similar (Masters or MBA preferred) or equivalent combination of education, training, and experience 7+ years of product management experience in enterprise mobility or related fields Proven track record of delivering AI/ML-enabled features in mobile apps or devices, ideally within enterprise environments Deep understanding of enterprise mobility ecosystems, including MDM/UEM solutions, EMM policies, and corporate device deployment strategies Familiarity with Android platform and tools, including AOSP, Android Enterprise APIs, security features, and device provisioning is desired Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and on-device AI technologies (e.g., TensorFlow Lite, Core ML, Android ML Kit) is desired Solid grasp of mobile security concepts, such as encryption, authentication, secure containers, zero-trust architectures, and endpoint threat detection Experience collaborating with AI/ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring) Experience working with cross-functional teams in a fast-paced environment Excellent communication, presentation, and stakeholder management skills Ability to build an excellent user experience and lead/present small group and/or executive level discussions Able to travel internationally ( Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range $179,200 - $246,150 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email . At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Select Please specify details from your answer above (example: job board name, employee referrer's name, etc.) Are you legally authorized to work in United States of America for Samsung Research America? Select Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status) to work legally for Samsung Research America in United States of America? Select Additional Information for California Residents: Select Information about what we are doing to meet the obligations of the California Consumer Privacy Act (CCPA) and California Consumer Privacy Rights Act (CPRA) other important information for California residents is available at SRA's Job Applicant Privacy Policy . Please review the policy carefully, and if you agree to the collection, processing, use, and transfer of your personal information as described in the policy, please indicate your acceptance by selecting "Accept" from the following drop down menu. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Samsung Research America's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground . click apply for full job details
04/02/2026
Full time
Senior Product Manager, Enterprise Mobility AI/ML Are you passionate about transforming bleeding-edge technologies into services that will impact millions in our daily lives? At Mobile Platform Solutions (MPS), we are looking for passionate product managers to share their creative vision and to build applications and services for Samsung's array of devices spanning mobile, wearables, IoT, TVs, appliances, etc. This role is ideal for a product leader with a passion for creating intelligent and secure mobile experiences, particularly within the Android ecosystem, and who brings deep expertise in enterprise mobility, AI/ML framework and applications, and mobile security. In this position, you will join a collaborative team of world-class designers, researchers, and engineers in the field of AI/ML, blockchain, IAM, computer vision, AR/VR/XR, IOT technologies, with emphasis on mobile B2B services, security and privacy, Enterprise AI, etc. Come join the Samsung MPS team and be a leader in bringing futuristic services to life! Position Summary: The Senior Product Manager will work closely with various internal organizations including business development, engineering and designers to define requirements and roadmaps. This is a great opportunity to lead one or more of our Knox enterprise mobility products. The ideal candidate will own the product lifecycle from ideation through launch, focusing on delivering value through innovative AI/ML features, robust security frameworks, and scalable enterprise solutions that meet the needs of modern mobile-first workforces. Position Responsibilities: Lead product strategy and roadmap for Samsung Knox Enterprise mobile solutions that leverage AI/ML to enhance productivity, automation, and user experience Drive cross-functional collaboration with engineering, UX, data science, security, marketing, and sales teams to ensure timely and high-quality product delivery Define clear requirements and user stories with a strong focus on enterprise user personas, security, performance, and compliance Partner closely with data scientists and AI/ML teams to define and implement intelligent features such as context-aware automation, predictive analytics, anomaly detection, and on-device machine learning models Work with industry leading ecosystem partners including OS Platforms, Network & Carriers, ISVs and System Integrators to identify & validate opportunities for Samsung to innovate and increase market share Deeply understand the Android ecosystem, including device management frameworks (e.g., Android Enterprise), security APIs, OS-level capabilities, and OEM integrations Analyze market trends, customer needs, and competitive landscape to identify opportunities Collaborate with engineering, sales, and marketing teams to ensure robust GTM plans and successful product launches Engage with key enterprise customers to gather feedback and validate product direction Serve as a thought leader both internally and externally in enterprise mobility and AI/ML-driven mobile applications Required Skills: Engineering degree in EE, CS, or similar (Masters or MBA preferred) or equivalent combination of education, training, and experience 7+ years of product management experience in enterprise mobility or related fields Proven track record of delivering AI/ML-enabled features in mobile apps or devices, ideally within enterprise environments Deep understanding of enterprise mobility ecosystems, including MDM/UEM solutions, EMM policies, and corporate device deployment strategies Familiarity with Android platform and tools, including AOSP, Android Enterprise APIs, security features, and device provisioning is desired Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and on-device AI technologies (e.g., TensorFlow Lite, Core ML, Android ML Kit) is desired Solid grasp of mobile security concepts, such as encryption, authentication, secure containers, zero-trust architectures, and endpoint threat detection Experience collaborating with AI/ML engineering teams and understanding model lifecycle management (training, deployment, performance monitoring) Experience working with cross-functional teams in a fast-paced environment Excellent communication, presentation, and stakeholder management skills Ability to build an excellent user experience and lead/present small group and/or executive level discussions Able to travel internationally ( Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range $179,200 - $246,150 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email . At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Select Please specify details from your answer above (example: job board name, employee referrer's name, etc.) Are you legally authorized to work in United States of America for Samsung Research America? Select Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status) to work legally for Samsung Research America in United States of America? Select Additional Information for California Residents: Select Information about what we are doing to meet the obligations of the California Consumer Privacy Act (CCPA) and California Consumer Privacy Rights Act (CPRA) other important information for California residents is available at SRA's Job Applicant Privacy Policy . Please review the policy carefully, and if you agree to the collection, processing, use, and transfer of your personal information as described in the policy, please indicate your acceptance by selecting "Accept" from the following drop down menu. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Samsung Research America's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground . click apply for full job details
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo ML Frameworks & Efficiency team partners with Research and Production teams across Waymo to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including pre-training and post-training. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving. We are looking for engineers with ML system expertise to help us train and improve pre-trained models to be deployed into Waymo Driver, and potential future products. Youu2019ll work with researchers and modeling engineers across the company, and solve the challenges of large-scale reinforcement learning (RL), building systems that can scale across compute, data, and environments to improve model intelligence and understanding of human drivers. You Will Report into the Head of ML Frameworks & Efficiency Develop the core training system for adapting RL techniques to unprecedented scales and heterogeneous environments (i.e. CPU/GPU/TPU). Collaborate with teams to integrate the latest rollout strategies, policies, and RL algorithms (i.e. REINFORCE, DPO, PPO) into the system. Improve the end-to-end RL training pipeline for efficient and scalable learners/actors, and low-latency distributed reply buffers for persisting data produced by the rollouts. Build evaluations, analyze experimental results and iterate quickly to improve model performance and training workflows. Stay current with the latest research in RL, Vision-Language-Action (VLA) models, and World models to inform and inspire new programs. You Have B.S. in Computer Science, Math, or 8+ years equivalent real-world experience. Proficient in distributed systems design with an understanding of ML efficiency. Experience with ML frameworks, including TensorFlow, JAX, XLA. Solid programming skills in Python and C++. Practical familiarity with profiling tools to uncover performance bottlenecks. We Prefer MS in Computer Science, Math Familiarity with post-training frameworks like TS/REX, Tunix, TorchRL, TRL. Compensation & Benefits 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
04/02/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo ML Frameworks & Efficiency team partners with Research and Production teams across Waymo to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including pre-training and post-training. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving. We are looking for engineers with ML system expertise to help us train and improve pre-trained models to be deployed into Waymo Driver, and potential future products. Youu2019ll work with researchers and modeling engineers across the company, and solve the challenges of large-scale reinforcement learning (RL), building systems that can scale across compute, data, and environments to improve model intelligence and understanding of human drivers. You Will Report into the Head of ML Frameworks & Efficiency Develop the core training system for adapting RL techniques to unprecedented scales and heterogeneous environments (i.e. CPU/GPU/TPU). Collaborate with teams to integrate the latest rollout strategies, policies, and RL algorithms (i.e. REINFORCE, DPO, PPO) into the system. Improve the end-to-end RL training pipeline for efficient and scalable learners/actors, and low-latency distributed reply buffers for persisting data produced by the rollouts. Build evaluations, analyze experimental results and iterate quickly to improve model performance and training workflows. Stay current with the latest research in RL, Vision-Language-Action (VLA) models, and World models to inform and inspire new programs. You Have B.S. in Computer Science, Math, or 8+ years equivalent real-world experience. Proficient in distributed systems design with an understanding of ML efficiency. Experience with ML frameworks, including TensorFlow, JAX, XLA. Solid programming skills in Python and C++. Practical familiarity with profiling tools to uncover performance bottlenecks. We Prefer MS in Computer Science, Math Familiarity with post-training frameworks like TS/REX, Tunix, TorchRL, TRL. Compensation & Benefits 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
A leading technology innovation firm in Mountain View, CA is seeking a Senior Software Engineer for their Industrial AI project. This role involves technical architecture responsibility, backend development, and managing external engineering teams. The ideal candidate will have over 7 years of software engineering experience, specifically in backend systems and cloud infrastructure, along with expertise in languages like Python and C/C++. This full-time position offers competitive compensation, including a base salary range of $165,000 - $230,000, along with bonuses and equity.
04/02/2026
Full time
A leading technology innovation firm in Mountain View, CA is seeking a Senior Software Engineer for their Industrial AI project. This role involves technical architecture responsibility, backend development, and managing external engineering teams. The ideal candidate will have over 7 years of software engineering experience, specifically in backend systems and cloud infrastructure, along with expertise in languages like Python and C/C++. This full-time position offers competitive compensation, including a base salary range of $165,000 - $230,000, along with bonuses and equity.
A leading healthcare technology company in Mountain View is seeking a Senior Fullstack Engineer to join their Scribe team, focusing on Ambient AI solutions. The ideal candidate will have strong programming skills, experience in frontend technologies, and a passion for fast execution in a high-impact field. This full-time role involves collaborating with customers and building innovative products that revolutionize the healthcare experience. Join us in shaping the future of healthcare technology.
04/02/2026
Full time
A leading healthcare technology company in Mountain View is seeking a Senior Fullstack Engineer to join their Scribe team, focusing on Ambient AI solutions. The ideal candidate will have strong programming skills, experience in frontend technologies, and a passion for fast execution in a high-impact field. This full-time role involves collaborating with customers and building innovative products that revolutionize the healthcare experience. Join us in shaping the future of healthcare technology.
Applicants in San Francisco Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications Bachelor's degree or equivalent practical experience. 15 years of experience in business development or partnerships in the Consumer Electronics, Telecom, E-Commerce/Retail, Apps, Ads, Gaming, or Technology industries. Experience working with C-level executives and cross-functionally across all levels of management. Experience managing agreements or partnerships. Preferred qualifications MBA or JD. 3 years of experience managing people or teams. Experience escalating and presenting key issues and recommendations to executive leadership. Ability to facilitate discussions, structure agreements, interpret legal documents, and work with legal teams to sign and manage agreements. Ability to grasp complex technical and product concepts. Ability to thrive in fast-paced, collaborative, and ambiguous start-up like environments where thoughtfulness, an entrepreneurial mindset, persistent execution, and relationships drive success. About The Job Google's line of products and services to our clients never stops growing. The Partnerships Development team is responsible for seeking and exploring new opportunities with Google's partners. Equipped with your business acumen and extensive product knowledge, you are right on the front line of interacting with our partners, and helping them find ways to grow using Google's newest product offerings. Your knowledge of relevant verticals and relationships with key industry players will help shape our great applications and content for products such as YouTube, Google TV and Commerce. The GP Sellside Monetization team's vision is to fund the world's information by enabling digital platforms, properties, and content creators. We do this by enriching an open and healthy digital ecosystem for all and developing trusted products and partnerships using our reach, unique insights, and people. The Business Development & Partner Enablement team within the Sellside monetization team is responsible for growing Google's business with publishers large and small in web, apps and video in the local market with solutions including AdSense, AdMob, Ad Manager, and many other Google products. In your day-to-day role, you will lead a high performing sales team. You will collaborate closely with Product Go-to-Market (PGTM), Business development (BD), gTech, Marketing, and our Exchange Platforms team to grow our existing commerce business and inform our future commerce media strategy by building trusted relationships with some of the top commerce brands in the industry. You will coach your team to deliver positive impact through direct partner engagement and strategic program management. The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google's Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google's own Product teams with essential partnerships to help Google's user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products. The US base salary range for this full-time position is $218,000-$306,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Manage, develop, and coach a high performing team of individual contributors. Set and achieve sales targets and drive high year-over-year growth. Develop expertise on the AMS commerce landscape and surface relevant market feedback to cross-functional partners across product, exchange partnerships, and marketing to inform product and sales strategies. Build executive level relationships with top commerce partners by being a trusted advisor, sharing business and product expertise, and exceptional relationship management. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
04/02/2026
Full time
Applicants in San Francisco Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications Bachelor's degree or equivalent practical experience. 15 years of experience in business development or partnerships in the Consumer Electronics, Telecom, E-Commerce/Retail, Apps, Ads, Gaming, or Technology industries. Experience working with C-level executives and cross-functionally across all levels of management. Experience managing agreements or partnerships. Preferred qualifications MBA or JD. 3 years of experience managing people or teams. Experience escalating and presenting key issues and recommendations to executive leadership. Ability to facilitate discussions, structure agreements, interpret legal documents, and work with legal teams to sign and manage agreements. Ability to grasp complex technical and product concepts. Ability to thrive in fast-paced, collaborative, and ambiguous start-up like environments where thoughtfulness, an entrepreneurial mindset, persistent execution, and relationships drive success. About The Job Google's line of products and services to our clients never stops growing. The Partnerships Development team is responsible for seeking and exploring new opportunities with Google's partners. Equipped with your business acumen and extensive product knowledge, you are right on the front line of interacting with our partners, and helping them find ways to grow using Google's newest product offerings. Your knowledge of relevant verticals and relationships with key industry players will help shape our great applications and content for products such as YouTube, Google TV and Commerce. The GP Sellside Monetization team's vision is to fund the world's information by enabling digital platforms, properties, and content creators. We do this by enriching an open and healthy digital ecosystem for all and developing trusted products and partnerships using our reach, unique insights, and people. The Business Development & Partner Enablement team within the Sellside monetization team is responsible for growing Google's business with publishers large and small in web, apps and video in the local market with solutions including AdSense, AdMob, Ad Manager, and many other Google products. In your day-to-day role, you will lead a high performing sales team. You will collaborate closely with Product Go-to-Market (PGTM), Business development (BD), gTech, Marketing, and our Exchange Platforms team to grow our existing commerce business and inform our future commerce media strategy by building trusted relationships with some of the top commerce brands in the industry. You will coach your team to deliver positive impact through direct partner engagement and strategic program management. The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google's Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google's own Product teams with essential partnerships to help Google's user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products. The US base salary range for this full-time position is $218,000-$306,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Manage, develop, and coach a high performing team of individual contributors. Set and achieve sales targets and drive high year-over-year growth. Develop expertise on the AMS commerce landscape and surface relevant market feedback to cross-functional partners across product, exchange partnerships, and marketing to inform product and sales strategies. Build executive level relationships with top commerce partners by being a trusted advisor, sharing business and product expertise, and exceptional relationship management. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
An autonomous driving technology company located in Mountain View, California, is seeking a Machine Learning Engineer to develop cutting-edge deep learning solutions for self-driving vehicles. The ideal candidate will possess a B.S. in Computer Science or a related field and have strong coding experience in C++ and/or Python, along with over 5 years of practical experience in machine learning projects. Competitive salary ranges from $238,000 to $302,000 USD, accompanied by generous benefits and incentives.
04/02/2026
Full time
An autonomous driving technology company located in Mountain View, California, is seeking a Machine Learning Engineer to develop cutting-edge deep learning solutions for self-driving vehicles. The ideal candidate will possess a B.S. in Computer Science or a related field and have strong coding experience in C++ and/or Python, along with over 5 years of practical experience in machine learning projects. Competitive salary ranges from $238,000 to $302,000 USD, accompanied by generous benefits and incentives.
A leading autonomous driving technology firm in Mountain View is seeking an experienced engineer with ML system expertise. You will develop core training systems, collaborate with teams on RL algorithms, and improve the efficiency of the training pipeline. Candidates should have a B.S. in Computer Science or Math, strong programming skills in Python and C++, and familiarity with ML frameworks. Competitive compensation and benefits packages are offered.
04/02/2026
Full time
A leading autonomous driving technology firm in Mountain View is seeking an experienced engineer with ML system expertise. You will develop core training systems, collaborate with teams on RL algorithms, and improve the efficiency of the training pipeline. Candidates should have a B.S. in Computer Science or Math, strong programming skills in Python and C++, and familiarity with ML frameworks. Competitive compensation and benefits packages are offered.
Direct message the job poster from GMI Cloud Focusing on LLM, AI Infrastructure, and AIGC. Opportunities across Silicon Valley and China. GMI Cloud is a leading AI Native Cloud service provider founded by AI experts from Google X and Silicon Valley elites. We operate a global network of data centers, offering the latest and most optimized GPU resources for enterprise AI applications, and providing stable, secure, efficient, and cost-effective AI cloud service solutions to startups, research institutions, and large enterprises worldwide. Machine Learning Engineer - Video Generation We are seeking a highly skilled Machine Learning Engineer with extensive experience in video/image generation models. The ideal candidate will have a strong background in diffusion-based video generation models and serving frameworks like xDit. Key Responsibilities: Design and Develop Infrastructure: Architect and implement efficient machine learning infrastructure to support large-scale video inference. Design common workload processing pipelines for handling requests. Collaborate with customers to co-design solutions. Maintain System Reliability: Monitor system performance, troubleshoot issues, and ensure high availability. Implement logging, monitoring, and alerting solutions to maintain infrastructure health. Work with cross-functional teams to align infrastructure solutions with business needs. Provide guidance and mentorship to junior engineers. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at GMI Cloud by 2x. Set job alerts for "Machine Learning Engineer" roles.
04/02/2026
Full time
Direct message the job poster from GMI Cloud Focusing on LLM, AI Infrastructure, and AIGC. Opportunities across Silicon Valley and China. GMI Cloud is a leading AI Native Cloud service provider founded by AI experts from Google X and Silicon Valley elites. We operate a global network of data centers, offering the latest and most optimized GPU resources for enterprise AI applications, and providing stable, secure, efficient, and cost-effective AI cloud service solutions to startups, research institutions, and large enterprises worldwide. Machine Learning Engineer - Video Generation We are seeking a highly skilled Machine Learning Engineer with extensive experience in video/image generation models. The ideal candidate will have a strong background in diffusion-based video generation models and serving frameworks like xDit. Key Responsibilities: Design and Develop Infrastructure: Architect and implement efficient machine learning infrastructure to support large-scale video inference. Design common workload processing pipelines for handling requests. Collaborate with customers to co-design solutions. Maintain System Reliability: Monitor system performance, troubleshoot issues, and ensure high availability. Implement logging, monitoring, and alerting solutions to maintain infrastructure health. Work with cross-functional teams to align infrastructure solutions with business needs. Provide guidance and mentorship to junior engineers. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at GMI Cloud by 2x. Set job alerts for "Machine Learning Engineer" roles.
A leading technology company in Mountain View is seeking a mid-senior level Machine Learning Engineer to design and deploy models for creating high-definition maps for autonomous driving. Applicants should have over 4 years of hands-on Machine Learning experience, particularly in computer vision and deep learning frameworks like TensorFlow or PyTorch. This full-time position offers a salary range of $204,000 to $259,000 and participation in various company benefits programs.
04/02/2026
Full time
A leading technology company in Mountain View is seeking a mid-senior level Machine Learning Engineer to design and deploy models for creating high-definition maps for autonomous driving. Applicants should have over 4 years of hands-on Machine Learning experience, particularly in computer vision and deep learning frameworks like TensorFlow or PyTorch. This full-time position offers a salary range of $204,000 to $259,000 and participation in various company benefits programs.
Location Mountain View, CA Employment Type Full time Department Engineering Compensation Entry/Mid Level - $120K - $150K • Offers Equity Senior - $140K - $180K • Offers Equity At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more - all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide - more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune's Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Revenue Cycle Management (RCM) team is at the forefront of revolutionizing healthcare technology by building innovative digital systems that empower healthcare providers with accurate, efficient, and real-time access to patient data. We're looking for talented Fullstack Engineers to help us build our health-tech products. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! We are an in-office environment here at HQ, Mountain View, CA. What You'll Do Contribute to the most advanced billing platform in the country Build end-to-end products to revolutionize revenue cycle management for providers and administrators Be a part of a tremendously fast-paced team that celebrates fast execution and decisions Work across the entire software stack Work with a stack that includes Python, Javascript, Vue, React Native, Flask, and other frameworks Work directly with customers to solve their issues daily What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 4+ years of professional software development industry experience Preferred: Strong Backend/Full-Stack Programming Skills (Must be comfortable with Python) Preferred: Very Familiar with Frontend JS technologies (React, Vue, etc.) Preferred: Experience in environments where you have to ship quickly. We move fast. General Understanding of Containers and Cloud (Docker, Kubernetes) Excitement to work in a high impact field with a builder attitude! Experience building production environments Alerting and reporting Metrics tracking Software reliability engineering Great product sense Attention to detail around user experience and customer needs Extremely motivated to grow Strong leadership skills Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in or or Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include protecting assets from unauthorized access, disclosure, modification, destruction or interference, nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $120K - $180K
04/02/2026
Full time
Location Mountain View, CA Employment Type Full time Department Engineering Compensation Entry/Mid Level - $120K - $150K • Offers Equity Senior - $140K - $180K • Offers Equity At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more - all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide - more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune's Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Revenue Cycle Management (RCM) team is at the forefront of revolutionizing healthcare technology by building innovative digital systems that empower healthcare providers with accurate, efficient, and real-time access to patient data. We're looking for talented Fullstack Engineers to help us build our health-tech products. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! We are an in-office environment here at HQ, Mountain View, CA. What You'll Do Contribute to the most advanced billing platform in the country Build end-to-end products to revolutionize revenue cycle management for providers and administrators Be a part of a tremendously fast-paced team that celebrates fast execution and decisions Work across the entire software stack Work with a stack that includes Python, Javascript, Vue, React Native, Flask, and other frameworks Work directly with customers to solve their issues daily What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 4+ years of professional software development industry experience Preferred: Strong Backend/Full-Stack Programming Skills (Must be comfortable with Python) Preferred: Very Familiar with Frontend JS technologies (React, Vue, etc.) Preferred: Experience in environments where you have to ship quickly. We move fast. General Understanding of Containers and Cloud (Docker, Kubernetes) Excitement to work in a high impact field with a builder attitude! Experience building production environments Alerting and reporting Metrics tracking Software reliability engineering Great product sense Attention to detail around user experience and customer needs Extremely motivated to grow Strong leadership skills Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in or or Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include protecting assets from unauthorized access, disclosure, modification, destruction or interference, nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $120K - $180K
A technology company in Mountain View is seeking a Machine Learning Engineer to design and scale advanced models for AI applications. Responsibilities include developing software, mentoring junior engineers, and tackling large-scale ML problems. Required qualifications include a Bachelor's degree in a related field and 4+ years of relevant experience. Join us to innovate the advertising industry with AI.
04/02/2026
Full time
A technology company in Mountain View is seeking a Machine Learning Engineer to design and scale advanced models for AI applications. Responsibilities include developing software, mentoring junior engineers, and tackling large-scale ML problems. Required qualifications include a Bachelor's degree in a related field and 4+ years of relevant experience. Join us to innovate the advertising industry with AI.
A leading moonshot innovation lab is seeking a Machine Learning Engineer for an early-stage project aimed at optimizing industrial processes. The ideal candidate will have a strong background in software engineering and machine learning, particularly with LLMs and data graphing. Responsibilities include designing systems to extract semantic meaning from industrial data and facilitating the transition of experimental ML research into production. The role offers a competitive salary range of $141,000 - $200,000 plus bonuses and equity.
04/02/2026
Full time
A leading moonshot innovation lab is seeking a Machine Learning Engineer for an early-stage project aimed at optimizing industrial processes. The ideal candidate will have a strong background in software engineering and machine learning, particularly with LLMs and data graphing. Responsibilities include designing systems to extract semantic meaning from industrial data and facilitating the transition of experimental ML research into production. The role offers a competitive salary range of $141,000 - $200,000 plus bonuses and equity.
Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world. In this hybrid role, you will report to a Software Engineering Manager. You will: Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver. Improve the signal quality provided by the "virtual driver's test". Improve the quality of individual simulations and that of the overarching simulation workflows. Try to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our "virtual driver's test": simulate the most interesting situations and report the most interesting simulation results. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000 - $259,000 USD
04/02/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world. In this hybrid role, you will report to a Software Engineering Manager. You will: Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver. Improve the signal quality provided by the "virtual driver's test". Improve the quality of individual simulations and that of the overarching simulation workflows. Try to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our "virtual driver's test": simulate the most interesting situations and report the most interesting simulation results. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000 - $259,000 USD
Join to apply for the Machine Learning Engineer, ML Flywheel role at Waymo Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity. We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo. In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer. You Will Implement new features in Waymo's data flywheel to scalably process ML data Develop robust ML workflows to continuously and automatically train, evaluate, and deploy models for Waymo's onboard and offboard applications Support the reliable operation of ML pipelines at scale Collaborate with ML modeling teams in understanding their workflows & design automation solutions that solve their problems You Have Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience Experience with distributed systems principles and experience building distributed systems for production environments. Solid Python or C++ skills Experience monitoring, debugging, and troubleshooting complex distributed systems Experience communicating updates and resolutions to customers and other partners We Prefer Experience with ML Ops principles and best practices 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 Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at Waymo by 2x
04/02/2026
Full time
Join to apply for the Machine Learning Engineer, ML Flywheel role at Waymo Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity. We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo. In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer. You Will Implement new features in Waymo's data flywheel to scalably process ML data Develop robust ML workflows to continuously and automatically train, evaluate, and deploy models for Waymo's onboard and offboard applications Support the reliable operation of ML pipelines at scale Collaborate with ML modeling teams in understanding their workflows & design automation solutions that solve their problems You Have Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience Experience with distributed systems principles and experience building distributed systems for production environments. Solid Python or C++ skills Experience monitoring, debugging, and troubleshooting complex distributed systems Experience communicating updates and resolutions to customers and other partners We Prefer Experience with ML Ops principles and best practices 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 Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at Waymo by 2x
Site Reliability Engineer (SRE) / Software Engineer (SWE) Location: Mountain View, CA Required Qualifications Proficiency in Go and/or Kotlin programming languages preferred. Experience with Google Cloud Platform (GCP) services and architecture is a must. Strong understanding of infrastructure as code (IaC) principles, particularly with Terraform. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Key Responsibilities Monitor and maintain the health of production applications. Respond to system alerts and logs to ensure high availability and performance. Analyze, troubleshoot, and resolve code issues in Go and Kotlin. Collaborate with the development team to implement fixes and improvements. Design, implement, and manage infrastructure using Terraform. Set up and maintain monitoring, logging, and alerting systems to proactively identify and address problems. Work closely with cross functional teams to ensure seamless integration and deployment of applications. Participate in on call rotations and provide support as needed. Experience Previous experience in a DevOps or Site Reliability Engineering role with a focus on cloud environments. Demonstrated ability to troubleshoot complex systems and code issues. Seniority level Mid Senior level Employment type Contract Job function Engineering and Information Technology Industries IT Services and IT Consulting
04/02/2026
Full time
Site Reliability Engineer (SRE) / Software Engineer (SWE) Location: Mountain View, CA Required Qualifications Proficiency in Go and/or Kotlin programming languages preferred. Experience with Google Cloud Platform (GCP) services and architecture is a must. Strong understanding of infrastructure as code (IaC) principles, particularly with Terraform. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Key Responsibilities Monitor and maintain the health of production applications. Respond to system alerts and logs to ensure high availability and performance. Analyze, troubleshoot, and resolve code issues in Go and Kotlin. Collaborate with the development team to implement fixes and improvements. Design, implement, and manage infrastructure using Terraform. Set up and maintain monitoring, logging, and alerting systems to proactively identify and address problems. Work closely with cross functional teams to ensure seamless integration and deployment of applications. Participate in on call rotations and provide support as needed. Experience Previous experience in a DevOps or Site Reliability Engineering role with a focus on cloud environments. Demonstrated ability to troubleshoot complex systems and code issues. Seniority level Mid Senior level Employment type Contract Job function Engineering and Information Technology Industries IT Services and IT Consulting
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co . We are an in office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a Solutions Architect to help architect and manage complex engineering projects, identify gaps, and implement best practices for customers. This position will involve intense collaboration with automotive customers and subject matter experts within Applied Intuition on a technical level in order to implement solutions for customer pain points & manage large projects. At Applied Intuition, you will: Define project milestones, manage timelines, budgets, and deliverables for projects relating to vehicle platforms, ADAS, and software defined vehicles Evaluate project timings with customers and adjust resource needs for customer pursuits based on their requirements and feedback discussion Execute projects as the single point of contact, track progress, and ensure successful completion of all the milestones, metrics, and final deliverables Continuously engage customers to understand further pain points and areas for more project engagements Help execute release plans for software and hardware components, coordinating with engineering teams Provide regular touch points with Applied Intuition's internal teams to update on customer use cases and workflows that our current software solutions do not yet provide a solution for Serve as a vital point of contact for our customers, understanding requirements and providing regular updates Coordinate internal and external teams, facilitate communication, and align technical roadmaps Ensure technical alignment between customer needs and solutions, supporting integration and validation Drive problem solving and decision making across teams to resolve project issues We're looking for someone who has: 3+ years of industry knowledge in vehicle SW development & production processes Bachelor, Master, or PhD degree in Mechanical, Electronics, Computer Science or related engineering field Prior experience with delivering complex OEM projects at an OEM or an Automotive Tier 1 Excellent communication, presentation, and interpersonal skills in English Ability to effectively manage multiple projects and priorities in a fast paced environment Experience working directly with customers Willingness to travel abroad to support project needs (up to 10%) Nice to have: Familiarity with the technology related to Applied's product portfolio and verticals Knowledge in both software and hardware aspects of software development and testing, such as high performance computing and real time test systems Experience managing a team of engineers in a leadership role Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the location listed is: $ 150,000 - $242,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
04/02/2026
Full time
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co . We are an in office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a Solutions Architect to help architect and manage complex engineering projects, identify gaps, and implement best practices for customers. This position will involve intense collaboration with automotive customers and subject matter experts within Applied Intuition on a technical level in order to implement solutions for customer pain points & manage large projects. At Applied Intuition, you will: Define project milestones, manage timelines, budgets, and deliverables for projects relating to vehicle platforms, ADAS, and software defined vehicles Evaluate project timings with customers and adjust resource needs for customer pursuits based on their requirements and feedback discussion Execute projects as the single point of contact, track progress, and ensure successful completion of all the milestones, metrics, and final deliverables Continuously engage customers to understand further pain points and areas for more project engagements Help execute release plans for software and hardware components, coordinating with engineering teams Provide regular touch points with Applied Intuition's internal teams to update on customer use cases and workflows that our current software solutions do not yet provide a solution for Serve as a vital point of contact for our customers, understanding requirements and providing regular updates Coordinate internal and external teams, facilitate communication, and align technical roadmaps Ensure technical alignment between customer needs and solutions, supporting integration and validation Drive problem solving and decision making across teams to resolve project issues We're looking for someone who has: 3+ years of industry knowledge in vehicle SW development & production processes Bachelor, Master, or PhD degree in Mechanical, Electronics, Computer Science or related engineering field Prior experience with delivering complex OEM projects at an OEM or an Automotive Tier 1 Excellent communication, presentation, and interpersonal skills in English Ability to effectively manage multiple projects and priorities in a fast paced environment Experience working directly with customers Willingness to travel abroad to support project needs (up to 10%) Nice to have: Familiarity with the technology related to Applied's product portfolio and verticals Knowledge in both software and hardware aspects of software development and testing, such as high performance computing and real time test systems Experience managing a team of engineers in a leadership role Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the location listed is: $ 150,000 - $242,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
A leading clean energy company in Mountain View is seeking an Embedded/Firmware Engineer to develop innovative firmware for home energy products. You will collaborate with a cross-functional team to deliver solutions that promote sustainability. The ideal candidate has over 7 years of experience and is proficient in C. This role offers comprehensive benefits, including medical insurance and a 401(k) plan.
04/02/2026
Full time
A leading clean energy company in Mountain View is seeking an Embedded/Firmware Engineer to develop innovative firmware for home energy products. You will collaborate with a cross-functional team to deliver solutions that promote sustainability. The ideal candidate has over 7 years of experience and is proficient in C. This role offers comprehensive benefits, including medical insurance and a 401(k) plan.
Amazon Web Services (aws)
Mountain View, California
A leading cloud computing company is seeking a Solutions Architect to design scalable AWS architectures for enterprise customers. You will collaborate with sales and technical teams, author client publications, and develop AI solutions. Ideal candidates will have over 10 years in IT and significant expertise in cloud technologies. This role involves working closely with customers to facilitate AWS's adoption across their businesses, ensuring they achieve successful outcomes through innovative solutions and tailored support.
04/02/2026
Full time
A leading cloud computing company is seeking a Solutions Architect to design scalable AWS architectures for enterprise customers. You will collaborate with sales and technical teams, author client publications, and develop AI solutions. Ideal candidates will have over 10 years in IT and significant expertise in cloud technologies. This role involves working closely with customers to facilitate AWS's adoption across their businesses, ensuring they achieve successful outcomes through innovative solutions and tailored support.
A content intelligence platform is seeking a Staff Machine Learning Engineer in Mountain View, California. This role offers the opportunity to provide technical leadership for advanced recommendation systems and AI initiatives, guiding large-scale projects across teams. Ideal candidates should have over 8 years of experience in machine learning and recommendation systems, along with strong system design skills. The position comes with excellent benefits including healthcare and a 401(K).
04/02/2026
Full time
A content intelligence platform is seeking a Staff Machine Learning Engineer in Mountain View, California. This role offers the opportunity to provide technical leadership for advanced recommendation systems and AI initiatives, guiding large-scale projects across teams. Ideal candidates should have over 8 years of experience in machine learning and recommendation systems, along with strong system design skills. The position comes with excellent benefits including healthcare and a 401(K).
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data. You will: Own business-critical systems for taking low latency action in response to signals from Waymo's fleet Develop Mapping Change Detection using a blend of ML and data analysis Build robust backend infrastructure and data processing that will scale with Waymo's growth Make high-impact contributions across Waymo's Mapping stack including infrastructure development, tooling improvements, and algorithm advances You have: Backend engineer with experience building server-side infrastructure and data processing Solid coding skills (C++ preferred) 4 years of total experience Strong sense of ownership and ability to thrive in ambiguity Proven track record of being able to apply a broad range of skills to effectively solve business problems We prefer: Experience applying ML and data analysis Master's in Computer Science, Robotics or related field 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
04/02/2026
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 Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data. You will: Own business-critical systems for taking low latency action in response to signals from Waymo's fleet Develop Mapping Change Detection using a blend of ML and data analysis Build robust backend infrastructure and data processing that will scale with Waymo's growth Make high-impact contributions across Waymo's Mapping stack including infrastructure development, tooling improvements, and algorithm advances You have: Backend engineer with experience building server-side infrastructure and data processing Solid coding skills (C++ preferred) 4 years of total experience Strong sense of ownership and ability to thrive in ambiguity Proven track record of being able to apply a broad range of skills to effectively solve business problems We prefer: Experience applying ML and data analysis Master's in Computer Science, Robotics or related field 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
UAT Lead + SAP SD + SAP MM functional testing experience Experience working in S4 Hana migration project is an added advantage. SAP SD, Logistics experience with 4-5 years of team lead/Manager experience. Skills Required: SAP Sales and Distribution (SD) SAP Materials Management (MM) SAP Logistics Execution (LE) SAP Financial Accounting (FI) SAP Service Management (SM) SAP UAT (management) lead who will interact with client teams to guide them in the SAP Testing process. Responsibilities include setting the testing processes and ensuring the team adheres to process standards. Govern, monitor, and report the project status progress. Key Responsibilities: Strong experience in SAP. Strong experience developing and implementing User Acceptance Test plans & test cases. Strong experience identifying test cases, writing test cases, and performing manual testing. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Retail
04/02/2026
Full time
UAT Lead + SAP SD + SAP MM functional testing experience Experience working in S4 Hana migration project is an added advantage. SAP SD, Logistics experience with 4-5 years of team lead/Manager experience. Skills Required: SAP Sales and Distribution (SD) SAP Materials Management (MM) SAP Logistics Execution (LE) SAP Financial Accounting (FI) SAP Service Management (SM) SAP UAT (management) lead who will interact with client teams to guide them in the SAP Testing process. Responsibilities include setting the testing processes and ensuring the team adheres to process standards. Govern, monitor, and report the project status progress. Key Responsibilities: Strong experience in SAP. Strong experience developing and implementing User Acceptance Test plans & test cases. Strong experience identifying test cases, writing test cases, and performing manual testing. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Retail
A technology firm in Mountain View, CA is seeking a Fullstack Engineer to revolutionize healthcare technology. You will have the opportunity to contribute to an advanced billing platform and build innovative products. The ideal candidate has over 4 years of software development experience and proficiency in Python and JavaScript frameworks. This role involves collaboration with healthcare providers to deliver effective solutions. Join us to shape the future of healthcare with your technical skills.
04/02/2026
Full time
A technology firm in Mountain View, CA is seeking a Fullstack Engineer to revolutionize healthcare technology. You will have the opportunity to contribute to an advanced billing platform and build innovative products. The ideal candidate has over 4 years of software development experience and proficiency in Python and JavaScript frameworks. This role involves collaboration with healthcare providers to deliver effective solutions. Join us to shape the future of healthcare with your technical skills.
Direct message the job poster from Persistent Systems Connecting Professionals with Great Opportunities About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we achieved the milestone of $1 billion in annualized Erun rate and reported $255.56M in revenue in Q2 FY23, representing 40.2% year-over-year growth. In addition, we've onboarded over 3,000 new employees in the first half of our fiscal year, bringing our total employee count to over 22,000 people located in 18 countries across the globe. We're also pleased to share that Persistent has been included in three indices of the National Stock Exchange in India- the Nifty Midcap 50, Nifty IT, and the Nifty Midcap Liquid 15. Throughout this market leading growth, we've maintained strong employee satisfaction - over 94% of our employees approve of the CEO and 89% would recommend working at Persistent to a friend. About Position: We are seeking a Data Scientist with ability to go deep on complex and vague requirements and get business moving recommendations from the data. Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment. Role: Data Scientist Location: Mountain View, CA (100% onsite) What You'll Do: Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash. Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.). Familiarity with Linux/OS X command line, version control software (git), and general software development. BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field; equivalent experience will be considered. 7+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation. Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit. Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred. Expertise You'll Bring: The ability to go deep on complex and vague requirements and get business moving recommendations from the data. Experience in designing and interpreting complex experiments beyond traditional A/B testing methods, such as inference testing. Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work. Outstanding communication skills with the ability to influence decision makers and build consensus with teams. Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment. Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring. Benefits: Competitive salary and benefits package. Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications. Opportunity to work with cutting-edge technologies. Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards. Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally. Impact the world in powerful, positive ways, using the latest technologies. Enjoy collaborative innovation, with diversity and work-life wellbeing at the core. Unlock global opportunities to work and learn with the industry's best. Let's unleash your full potential. See Beyond, Rise Above. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting
04/02/2026
Full time
Direct message the job poster from Persistent Systems Connecting Professionals with Great Opportunities About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we achieved the milestone of $1 billion in annualized Erun rate and reported $255.56M in revenue in Q2 FY23, representing 40.2% year-over-year growth. In addition, we've onboarded over 3,000 new employees in the first half of our fiscal year, bringing our total employee count to over 22,000 people located in 18 countries across the globe. We're also pleased to share that Persistent has been included in three indices of the National Stock Exchange in India- the Nifty Midcap 50, Nifty IT, and the Nifty Midcap Liquid 15. Throughout this market leading growth, we've maintained strong employee satisfaction - over 94% of our employees approve of the CEO and 89% would recommend working at Persistent to a friend. About Position: We are seeking a Data Scientist with ability to go deep on complex and vague requirements and get business moving recommendations from the data. Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment. Role: Data Scientist Location: Mountain View, CA (100% onsite) What You'll Do: Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash. Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.). Familiarity with Linux/OS X command line, version control software (git), and general software development. BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field; equivalent experience will be considered. 7+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation. Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit. Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred. Expertise You'll Bring: The ability to go deep on complex and vague requirements and get business moving recommendations from the data. Experience in designing and interpreting complex experiments beyond traditional A/B testing methods, such as inference testing. Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work. Outstanding communication skills with the ability to influence decision makers and build consensus with teams. Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment. Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring. Benefits: Competitive salary and benefits package. Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications. Opportunity to work with cutting-edge technologies. Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards. Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally. Impact the world in powerful, positive ways, using the latest technologies. Enjoy collaborative innovation, with diversity and work-life wellbeing at the core. Unlock global opportunities to work and learn with the industry's best. Let's unleash your full potential. See Beyond, Rise Above. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting
An autonomous driving technology company is looking for an experienced engineer to improve compute performance in machine learning systems. This hybrid role involves collaboration with a world-class ML team and requires strong expertise in ML software or systems. The ideal candidate has a Master's degree in a relevant field, with at least 5 years of experience in ML. A competitive salary range of $204,000-$259,000 USD is offered, along with additional benefits.
04/02/2026
Full time
An autonomous driving technology company is looking for an experienced engineer to improve compute performance in machine learning systems. This hybrid role involves collaboration with a world-class ML team and requires strong expertise in ML software or systems. The ideal candidate has a Master's degree in a relevant field, with at least 5 years of experience in ML. A competitive salary range of $204,000-$259,000 USD is offered, along with additional benefits.
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Summary Visa Consulting & Analytics (VCA) drives tangible, impactful and financial results for Visa's clients, including card issuers, acquirers, and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operations and macroeconomics, VCA solves the most strategic problems for our clients. The VCA team within Japan provides a comprehensive range of consulting services and solutions to our clients in Japan, that address unique challenges in areas such as strategic growth, profitability, risk management and digital strategy. In VCA, Managed Services team plays a key role to enhance partnership with one of the largest clients for Visa's Japan business and focuses on developing, implementing, and improving clients' business by collaborating with them closely. What a Senior Consulting Manager, Visa Consulting and Analytics does at Visa We are currently looking for a Senior Manager to drive IT consulting engagements for our clients in Japan, enabling portfolio growth and improved profitability across their payment businesses. The Senior Manager will drive technology related client engagements and act as the main focal point, coordinating between the client team, other internal stakeholders, and outsourcing partners (as applicable). The Senior Manager will be responsible for managing various technology related initiatives between Visa and a client including product implementation and system updates based on Visa's enhancements, etc. The full range of responsibilities is detailed below. On a project-by-project basis Project management for various technology related initiatives between Visa and one of the largest clients, such as tracking status, action items, issues and risks for technology related strategy projects, Visa product implementation, etc. Proofread materials showing Visa's enhancements produced by different teams at Visa, figure out specific requirements and determine impact on the client, and support the client to implement necessary system updates. Develop materials for holistic product discussions with the client to identify most important issues and opportunities, brainstorm and propose potential solutions and determine priorities and timeline for implementation. Support leaders prepare client project proposals, clarifying objectives, scope, deliverables, approach, dependencies, roles and responsibilities, drawing input from the client, local client relationship managers, and functional teams. Support leaders oversee project setup including contracting documentation, stakeholder engagement, workplans, interview guides, client data requirements, and vendor statements of work (as applicable). Develop a fact base by undertaking client interviews and analyzing client documentation or processes. Collaborate with product team, the hub team, broader global team, or other functional teams to obtain specific subject matter expertise as needed. Design and deliver compelling presentations to illustrate findings, ideas, recommendations within consulting engagements and more broadly. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications What you will need: Basic Qualifications 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) 2 years of work experience with a PhD Preferred Qualifications Having already accumulated a variety of experience, you will be curious about the payments industry and keen to work alongside an experienced team to quickly gain a deeper understanding. You will be client driven, comfortable managing a project end to end and relishing the opportunity to work closely with clients to influence their future performance. Fluent Japanese and at least business level English proficiency. years of work experience in professional areas. Experience in the payments, banking, platformers, mobile consumer applications, technology services, and/or IT consulting industry. Technical knowledge of payment technologies related to authorization, clearing & settlement, gateways / PSP's, risk management, tokenization, EMV 3DS, etc. Experience in planning, managing and delivering on complex cross-functional projects from conceptualization to launch including implementation. Experience as a Business Analyst, Technical Architect and Strategist (either of them is expected). Excellent communication skill with Japanese and non-Japanese speaking people, in verbal and non-verbal situations. Excellent presentation skills, including strong oral and written capabilities. Flexible and proactive trouble shooting capabilities with the ability to manage diverse groups organized within different organizational reporting lines. Strategic thinker who can balance big picture strategy and detailed, flawless execution. Strong team orientation with an open-minded, collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization. Self motivated, results oriented individual with the ability to progress multiple priorities concurrently. Flexible mindset to revise plans and scopes while managing internal and external expectations. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
04/02/2026
Full time
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Summary Visa Consulting & Analytics (VCA) drives tangible, impactful and financial results for Visa's clients, including card issuers, acquirers, and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operations and macroeconomics, VCA solves the most strategic problems for our clients. The VCA team within Japan provides a comprehensive range of consulting services and solutions to our clients in Japan, that address unique challenges in areas such as strategic growth, profitability, risk management and digital strategy. In VCA, Managed Services team plays a key role to enhance partnership with one of the largest clients for Visa's Japan business and focuses on developing, implementing, and improving clients' business by collaborating with them closely. What a Senior Consulting Manager, Visa Consulting and Analytics does at Visa We are currently looking for a Senior Manager to drive IT consulting engagements for our clients in Japan, enabling portfolio growth and improved profitability across their payment businesses. The Senior Manager will drive technology related client engagements and act as the main focal point, coordinating between the client team, other internal stakeholders, and outsourcing partners (as applicable). The Senior Manager will be responsible for managing various technology related initiatives between Visa and a client including product implementation and system updates based on Visa's enhancements, etc. The full range of responsibilities is detailed below. On a project-by-project basis Project management for various technology related initiatives between Visa and one of the largest clients, such as tracking status, action items, issues and risks for technology related strategy projects, Visa product implementation, etc. Proofread materials showing Visa's enhancements produced by different teams at Visa, figure out specific requirements and determine impact on the client, and support the client to implement necessary system updates. Develop materials for holistic product discussions with the client to identify most important issues and opportunities, brainstorm and propose potential solutions and determine priorities and timeline for implementation. Support leaders prepare client project proposals, clarifying objectives, scope, deliverables, approach, dependencies, roles and responsibilities, drawing input from the client, local client relationship managers, and functional teams. Support leaders oversee project setup including contracting documentation, stakeholder engagement, workplans, interview guides, client data requirements, and vendor statements of work (as applicable). Develop a fact base by undertaking client interviews and analyzing client documentation or processes. Collaborate with product team, the hub team, broader global team, or other functional teams to obtain specific subject matter expertise as needed. Design and deliver compelling presentations to illustrate findings, ideas, recommendations within consulting engagements and more broadly. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications What you will need: Basic Qualifications 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) 2 years of work experience with a PhD Preferred Qualifications Having already accumulated a variety of experience, you will be curious about the payments industry and keen to work alongside an experienced team to quickly gain a deeper understanding. You will be client driven, comfortable managing a project end to end and relishing the opportunity to work closely with clients to influence their future performance. Fluent Japanese and at least business level English proficiency. years of work experience in professional areas. Experience in the payments, banking, platformers, mobile consumer applications, technology services, and/or IT consulting industry. Technical knowledge of payment technologies related to authorization, clearing & settlement, gateways / PSP's, risk management, tokenization, EMV 3DS, etc. Experience in planning, managing and delivering on complex cross-functional projects from conceptualization to launch including implementation. Experience as a Business Analyst, Technical Architect and Strategist (either of them is expected). Excellent communication skill with Japanese and non-Japanese speaking people, in verbal and non-verbal situations. Excellent presentation skills, including strong oral and written capabilities. Flexible and proactive trouble shooting capabilities with the ability to manage diverse groups organized within different organizational reporting lines. Strategic thinker who can balance big picture strategy and detailed, flawless execution. Strong team orientation with an open-minded, collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization. Self motivated, results oriented individual with the ability to progress multiple priorities concurrently. Flexible mindset to revise plans and scopes while managing internal and external expectations. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Senior Software Engineer, AOSP - Core OS Mountain View, California, United States About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) Meet our engineers on the Vehicle OS team! Vehicle OS is a flexible suite of products that help vehicle manufacturers develop, deploy, and update complete vehicle software and AI applications. This is one of the fastest growing projects here at Applied, and we are seeking exceptional talent to drive execution. About the role As part of the Core OS team helping build Applied Intuition's Vehicle OS product, you will develop and maintain all BSP, firmware, and system software for advanced ARM64 compute platforms, delivering high-performance features like VirtualIO, HAL, OTA, and advanced media capabilities for Vehicle OS. You'll work with cutting-edge embedded platforms and top SoC vendors, developing software on modern OSs and frameworks in a virtualized environment to power the real cars of the near future on real roads. As a Senior Software Engineer, AOSP, you will play a key role in developing and maintaining the Android (AOSP) operating system and foundational system software for automotive platforms, collaborating closely with hardware, firmware, and cross-functional teams. If you have deep expertise in embedded systems, Android (AAOS, AOSP frameworks), Linux and QNX kernels, and a passion for building robust solutions at a rapid pace, we'd love to connect. At Applied Intuition, you will: Develop, maintain, and optimize Android (AOSP) HAL (Hardware Abstraction Layer), services, libraries, apps, and Linux kernel modules using industry best practices Diagnose, analyze, and resolve crashes or performance issues with Linux drivers and AOSP components such as HAL, services, libraries, and apps Apply strong OS fundamentals (IPC, virtual memory, concurrency/threading, etc.) to write software that meets demanding requirements for performance, stability, CPU/RAM utilization, code size, and concurrency Work closely with cross-functional teams, including testers, product managers, and other developers, to deliver robust and innovative software solutions Contribute to the architecture and implementation of vehicle hypervisors and embedded OS components for next-generation automotive platforms Stay at the cutting edge of ARM64 platforms and hypervisor technologies, building mission-critical and engaging software experiences for SDVs Collaborate with application teams to ensure seamless integration between system software and the user interface We're looking for someone who has: 5+ years of Android (AOSP) systems software development experience on at least one of the popular SoC platforms (Qualcomm, NVIDIA, TI, NXP, Mediatek, etc) 5+ years of experience programming in C, C++ for ARM or X86 platforms Experience with Git, Gerrit, Github and modern software development practices Proven ability to develop and debug AOSP HAL, services, libraries, apps, and Linux kernel modules Strong fundamentals in operating system concepts: IPC, virtual memory, concurrency/threading, etc Experience with embedded software development on ARM platforms and Linux / Android (AOSP) Ability to write software with a focus on performance, stability, CPU/RAM utilization, code size, and concurrency Ability to work collaboratively with cross-functional teams and communicate technical challenges and solutions effectively Nice to have: Experience with Linux camera or display drivers for Qualcomm SOCs Experience with core Android technologies such as binders, virtIO drivers, audio HAL, etc Experience with QNX multimedia drivers and frameworks Experience with HW debug, use of scopes, logical analyzers etc Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $ 171,000 - $275,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
04/02/2026
Full time
Senior Software Engineer, AOSP - Core OS Mountain View, California, United States About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) Meet our engineers on the Vehicle OS team! Vehicle OS is a flexible suite of products that help vehicle manufacturers develop, deploy, and update complete vehicle software and AI applications. This is one of the fastest growing projects here at Applied, and we are seeking exceptional talent to drive execution. About the role As part of the Core OS team helping build Applied Intuition's Vehicle OS product, you will develop and maintain all BSP, firmware, and system software for advanced ARM64 compute platforms, delivering high-performance features like VirtualIO, HAL, OTA, and advanced media capabilities for Vehicle OS. You'll work with cutting-edge embedded platforms and top SoC vendors, developing software on modern OSs and frameworks in a virtualized environment to power the real cars of the near future on real roads. As a Senior Software Engineer, AOSP, you will play a key role in developing and maintaining the Android (AOSP) operating system and foundational system software for automotive platforms, collaborating closely with hardware, firmware, and cross-functional teams. If you have deep expertise in embedded systems, Android (AAOS, AOSP frameworks), Linux and QNX kernels, and a passion for building robust solutions at a rapid pace, we'd love to connect. At Applied Intuition, you will: Develop, maintain, and optimize Android (AOSP) HAL (Hardware Abstraction Layer), services, libraries, apps, and Linux kernel modules using industry best practices Diagnose, analyze, and resolve crashes or performance issues with Linux drivers and AOSP components such as HAL, services, libraries, and apps Apply strong OS fundamentals (IPC, virtual memory, concurrency/threading, etc.) to write software that meets demanding requirements for performance, stability, CPU/RAM utilization, code size, and concurrency Work closely with cross-functional teams, including testers, product managers, and other developers, to deliver robust and innovative software solutions Contribute to the architecture and implementation of vehicle hypervisors and embedded OS components for next-generation automotive platforms Stay at the cutting edge of ARM64 platforms and hypervisor technologies, building mission-critical and engaging software experiences for SDVs Collaborate with application teams to ensure seamless integration between system software and the user interface We're looking for someone who has: 5+ years of Android (AOSP) systems software development experience on at least one of the popular SoC platforms (Qualcomm, NVIDIA, TI, NXP, Mediatek, etc) 5+ years of experience programming in C, C++ for ARM or X86 platforms Experience with Git, Gerrit, Github and modern software development practices Proven ability to develop and debug AOSP HAL, services, libraries, apps, and Linux kernel modules Strong fundamentals in operating system concepts: IPC, virtual memory, concurrency/threading, etc Experience with embedded software development on ARM platforms and Linux / Android (AOSP) Ability to write software with a focus on performance, stability, CPU/RAM utilization, code size, and concurrency Ability to work collaboratively with cross-functional teams and communicate technical challenges and solutions effectively Nice to have: Experience with Linux camera or display drivers for Qualcomm SOCs Experience with core Android technologies such as binders, virtIO drivers, audio HAL, etc Experience with QNX multimedia drivers and frameworks Experience with HW debug, use of scopes, logical analyzers etc Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $ 171,000 - $275,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Job Title: R&D Software Engineer Lead & CISO Location: Mountain View, CA Type: Full Time, Onsite About MediaGo: MediaGo DSP is revolutionizing advertising with a next-gen, AI-driven programmatic platform. About The Role: We're seeking an experienced Lead Software Engineer to guide our product team in developing and deploying scalable, AI-enabled systems. Responsibilities Lead the design, development, and deployment of scalable, AI-driven backend and data systems. Oversee the end-to-end lifecycle of R&D projects. Provide technical leadership and mentorship to junior and mid-level engineers. Collaborate with product managers, data scientists, and other stakeholders to define project requirements. Serve as Chief Information Security Officer (CISO) to develop, implement, and enforce information security policies. Conduct regular audits and risk assessments to identify vulnerabilities. Requirements 6+ years of professional software development experience, with 2+ years in a lead or tech-lead role. Strong backend expertise: Java, C++, Scala, Python-plus cloud infrastructure and data frameworks. Deep understanding of algorithms, data structures, microservices, and distributed systems. Familiarity with both SQL and NoSQL databases. Well-honed software engineering practices: version control, CI/CD, unit testing, code reviews. Preferred Qualifications Bachelor's or Master's in Computer Science, Engineering, or related field. Experience with security best practices. Familiarity with compliance frameworks. Experience with containerization, orchestration, Infrastructure as Code. Base Salary Pay Range: $159k - $229k USD We are an equal opportunities employer and welcome applications from all qualified candidates.
04/02/2026
Full time
Job Title: R&D Software Engineer Lead & CISO Location: Mountain View, CA Type: Full Time, Onsite About MediaGo: MediaGo DSP is revolutionizing advertising with a next-gen, AI-driven programmatic platform. About The Role: We're seeking an experienced Lead Software Engineer to guide our product team in developing and deploying scalable, AI-enabled systems. Responsibilities Lead the design, development, and deployment of scalable, AI-driven backend and data systems. Oversee the end-to-end lifecycle of R&D projects. Provide technical leadership and mentorship to junior and mid-level engineers. Collaborate with product managers, data scientists, and other stakeholders to define project requirements. Serve as Chief Information Security Officer (CISO) to develop, implement, and enforce information security policies. Conduct regular audits and risk assessments to identify vulnerabilities. Requirements 6+ years of professional software development experience, with 2+ years in a lead or tech-lead role. Strong backend expertise: Java, C++, Scala, Python-plus cloud infrastructure and data frameworks. Deep understanding of algorithms, data structures, microservices, and distributed systems. Familiarity with both SQL and NoSQL databases. Well-honed software engineering practices: version control, CI/CD, unit testing, code reviews. Preferred Qualifications Bachelor's or Master's in Computer Science, Engineering, or related field. Experience with security best practices. Familiarity with compliance frameworks. Experience with containerization, orchestration, Infrastructure as Code. Base Salary Pay Range: $159k - $229k USD We are an equal opportunities employer and welcome applications from all qualified candidates.
A leading autonomous driving technology company in Mountain View is seeking an experienced Machine Learning Engineer for their Simulator Team. This hybrid role involves driving innovation in simulation technologies for autonomous vehicles using advanced ML methods. Ideal candidates have over 5 years of experience in ML software engineering and Python. Competitive salary and benefits are offered, with a salary range of $204,000-$259,000 USD.
04/02/2026
Full time
A leading autonomous driving technology company in Mountain View is seeking an experienced Machine Learning Engineer for their Simulator Team. This hybrid role involves driving innovation in simulation technologies for autonomous vehicles using advanced ML methods. Ideal candidates have over 5 years of experience in ML software engineering and Python. Competitive salary and benefits are offered, with a salary range of $204,000-$259,000 USD.
A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.
04/02/2026
Full time
A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.
