Controls Engineer Jobs at Google with Visa Sponsorship
Controls Engineer roles at Google sit at the intersection of hardware reliability and large-scale infrastructure, covering everything from data center power systems to automated facility controls. Google sponsors H-1B, H-1B1, and E-3 visas for this function, and the company has a consistent track record of supporting international engineers through the full sponsorship process.
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Get Access To All JobsINTRODUCTION
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team's mission is to provide end-to-end, fleet-wide scheduling that is efficient, reliable, and easy to use.
As a Tech Lead Manager in the Compute Infrastructure Foundations and Workload Fungibility team, you will lead the engineering efforts that power Alphabet’s ML workloads, supporting critical missions for DeepMind, AdBrain, Search, Waymo, and Cloud.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the mid-term technical goal and roadmap within the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with infrastructure/ML.
- Understanding of the end-to-end ML development lifecycle.
COMPENSATION
The US base salary range for this full-time position is $207,000-$300,000 + 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.
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.
INTRODUCTION
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team's mission is to provide end-to-end, fleet-wide scheduling that is efficient, reliable, and easy to use.
As a Tech Lead Manager in the Compute Infrastructure Foundations and Workload Fungibility team, you will lead the engineering efforts that power Alphabet’s ML workloads, supporting critical missions for DeepMind, AdBrain, Search, Waymo, and Cloud.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the mid-term technical goal and roadmap within the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with infrastructure/ML.
- Understanding of the end-to-end ML development lifecycle.
COMPENSATION
The US base salary range for this full-time position is $207,000-$300,000 + 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.
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.
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Get Access To All JobsTips for Finding Controls Engineer Jobs at Google Jobs
Frame your credentials around infrastructure scale
Google's Controls Engineer roles emphasize high-voltage systems, BMS platforms, and industrial automation at data center scale. Tailor your resume to reflect experience with large facility systems, not just standard building controls or HVAC work.
Target Google's data center facility teams
Controls Engineer openings at Google are concentrated in their global data center portfolio. Search specifically for roles under Global Data Centers or Critical Facilities on Google's careers site, as those teams have the most active sponsorship activity for this function.
Align your offer timeline with H-1B cap deadlines
If you need H-1B sponsorship, Google must file by the April 1 deadline for an October 1 start. Securing an offer before February gives Google's immigration team enough runway to register you in the USCIS lottery and prepare the petition.
Verify your specialty occupation documentation early
Controls Engineering can face USCIS scrutiny over specialty occupation status. Gather your degree transcripts, any professional engineering credentials, and a clear job description that ties your degree field directly to the role's technical requirements before your offer stage.
Use Migrate Mate to find open roles efficiently
Controls Engineer openings at Google that include visa sponsorship aren't always labeled clearly on general job boards. Use Migrate Mate to filter specifically for Google positions that list H-1B, E-3, or H-1B1 sponsorship so you're applying where sponsorship is confirmed.
Controls Engineer at Google jobs are hiring across the US. Find yours.
Find Controls Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Controls Engineers?
Yes, Google sponsors H-1B visas for Controls Engineer roles. Google participates in the annual H-1B cap lottery each spring, with an April 1 filing deadline for an October 1 start date. If you're Australian or Chilean, Google also sponsors the E-3 and H-1B1 visa categories for this role, both of which bypass the lottery entirely.
How do I apply for Controls Engineer jobs at Google?
Search Google's careers site under Global Data Centers or Critical Facilities teams, where Controls Engineer roles are most active. You can also use Migrate Mate to filter Google job listings that explicitly include visa sponsorship. Tailor your application to emphasize large-scale facility systems experience, as Google's controls roles typically center on data center infrastructure rather than commercial building automation.
Which visa types does Google sponsor for Controls Engineer roles?
Google sponsors the H-1B, H-1B1, and E-3 visa categories for Controls Engineer positions. H-1B is the most common path and requires lottery selection. H-1B1 is available to Chilean nationals and E-3 to Australian citizens. Both the H-1B1 and E-3 are cap-exempt, meaning Google can file them at any time of year without waiting for the April lottery window.
What qualifications does Google expect for Controls Engineer roles?
Google's Controls Engineer positions typically require a bachelor's degree in Electrical Engineering, Mechanical Engineering, or a closely related field, alongside hands-on experience with BMS platforms, PLC programming, and high-voltage or critical power systems. Familiarity with data center environments or mission-critical facilities is a strong differentiator. For USCIS H-1B purposes, your degree field needs to connect directly to the specific technical requirements of the role.
How long does the visa sponsorship process take for a Controls Engineer role at Google?
For H-1B sponsorship, the timeline runs from lottery registration in March through an October 1 start date if selected, meaning you'll want an offer finalized by early February at the latest. E-3 and H-1B1 petitions can be filed year-round and typically take four to six weeks for USCIS approval. Google's immigration team manages the process internally, but you should expect several weeks of document preparation between offer acceptance and petition filing.
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