Engineering Technician Jobs at Intuit with Visa Sponsorship
Intuit hires Engineering Technicians to support hardware, lab, and product testing infrastructure across its technology teams. The company has an established sponsorship process for this function, making it a realistic target if you're on an H-1B, E-3, F-1 OPT, or similar work authorization pathway.
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Get Access To All JobsOverview
Intuit is a global financial platform company with a mission to empower everyone to prosper. Our innovative products, including TurboTax, QuickBooks, CreditKarma, and Mailchimp, use technology to solve challenging financial problems for millions of people worldwide. At Intuit, we believe in living our values every day, with integrity at the core of everything we do. Our mission to power prosperity around the world drives us to design products that help our customers make more money, save time, and make confident financial decisions.
Intuit is seeking a “Group Development Manager” for the "AI Foundations Platform". This role is specifically looking for a person with a good blend of AI Science and Engineering background. We are responsible for building AI platform technology which helps power AI experiences across Intuit. Please come join us to contribute to our proprietary GenOS platform.
Responsibilities
- Deliver high quality customer-driven software offerings/products to market that simplify and solve for current customer needs while building for the future.
- Lead a mixed team of engineers and AI Scientists.
- Should possess strong technical skills, have a career history of strong hands-on software engineering and development experience, and the tactical and visionary leadership skills to motivate, guide, and earn the respect from a highly talented engineering team.
- Responsible for initiating and driving the adoption of technology, product and process improvements throughout the software delivery life cycle.
- Provide technical leadership, career development, and management of performance, objectives, and priorities of all reporting staff - Build a high performing, results-oriented organization.
- Drive and own the functional and non-functional requirements road map for your organization.
- Provide/inspire AI science innovations that fuel the growth of Intuit as a whole.
- Develop product expertise and advocate on behalf of the customer.
- Drive initiatives to improve testing at all levels & deliver automation to ensure robustness and protect our customer.
- Embrace & implement new ideas that produce outstanding results for our customers.
- Drive adoption of best practices, tools, systems and metrics across the organization.
- Imbibe and coach excellence in product, engineering and operations.
Qualifications
- BS or higher in an appropriate technology field (Computer Science, Statistics, Applied Math, Physics, etc.)
- At least 10+ years of industry experience with a minimum of two years of proven track record of leading high performing teams (engineering and AI science).
- Hands on engineering leader who can nurture working with highly motivated and extremely talented engineers and AI scientists to work on high visibility products.
- Someone with strong belief in agile and lean thinking have a passion for velocity, engineering and operational excellence.
- Experience with Generative AI, LLM operations, AI assistant, prompt engineering, embedding and AI evaluations.
- Experience with any cloud vendors like AWS, GCP, Azure.
- Experience with AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices.
- Strong exposure to Enterprise Java platform, Spring Framework, Kubernetes based container deployments.
- Solid software development fundamentals (Data Structures, algorithms, problem solving, OO Design, and system architecture) with specialization on end to end software development using modern SaaS / public cloud deployments with a DevOps mindset.
- Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
- Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level.
- Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders.
- Drives strategic technology/engine reuse, technology and architecture health, and development process improvement.
- A highly technical and result oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $222,000-300,500
Overview
Intuit is a global financial platform company with a mission to empower everyone to prosper. Our innovative products, including TurboTax, QuickBooks, CreditKarma, and Mailchimp, use technology to solve challenging financial problems for millions of people worldwide. At Intuit, we believe in living our values every day, with integrity at the core of everything we do. Our mission to power prosperity around the world drives us to design products that help our customers make more money, save time, and make confident financial decisions.
Intuit is seeking a “Group Development Manager” for the "AI Foundations Platform". This role is specifically looking for a person with a good blend of AI Science and Engineering background. We are responsible for building AI platform technology which helps power AI experiences across Intuit. Please come join us to contribute to our proprietary GenOS platform.
Responsibilities
- Deliver high quality customer-driven software offerings/products to market that simplify and solve for current customer needs while building for the future.
- Lead a mixed team of engineers and AI Scientists.
- Should possess strong technical skills, have a career history of strong hands-on software engineering and development experience, and the tactical and visionary leadership skills to motivate, guide, and earn the respect from a highly talented engineering team.
- Responsible for initiating and driving the adoption of technology, product and process improvements throughout the software delivery life cycle.
- Provide technical leadership, career development, and management of performance, objectives, and priorities of all reporting staff - Build a high performing, results-oriented organization.
- Drive and own the functional and non-functional requirements road map for your organization.
- Provide/inspire AI science innovations that fuel the growth of Intuit as a whole.
- Develop product expertise and advocate on behalf of the customer.
- Drive initiatives to improve testing at all levels & deliver automation to ensure robustness and protect our customer.
- Embrace & implement new ideas that produce outstanding results for our customers.
- Drive adoption of best practices, tools, systems and metrics across the organization.
- Imbibe and coach excellence in product, engineering and operations.
Qualifications
- BS or higher in an appropriate technology field (Computer Science, Statistics, Applied Math, Physics, etc.)
- At least 10+ years of industry experience with a minimum of two years of proven track record of leading high performing teams (engineering and AI science).
- Hands on engineering leader who can nurture working with highly motivated and extremely talented engineers and AI scientists to work on high visibility products.
- Someone with strong belief in agile and lean thinking have a passion for velocity, engineering and operational excellence.
- Experience with Generative AI, LLM operations, AI assistant, prompt engineering, embedding and AI evaluations.
- Experience with any cloud vendors like AWS, GCP, Azure.
- Experience with AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices.
- Strong exposure to Enterprise Java platform, Spring Framework, Kubernetes based container deployments.
- Solid software development fundamentals (Data Structures, algorithms, problem solving, OO Design, and system architecture) with specialization on end to end software development using modern SaaS / public cloud deployments with a DevOps mindset.
- Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
- Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level.
- Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders.
- Drives strategic technology/engine reuse, technology and architecture health, and development process improvement.
- A highly technical and result oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $222,000-300,500
See all 25+ Engineering Technician at Intuit jobs
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Get Access To All JobsTips for Finding Engineering Technician Jobs at Intuit Jobs
Frame your credentials around hardware and lab workflows
Intuit's Engineering Technician roles often sit within product testing and R&D environments. Highlight hands-on experience with electronic test equipment, PCB assembly, or lab instrumentation on your resume so hiring managers can immediately map your background to their workflows.
Target Intuit teams that run physical labs
Intuit's product and platform engineering groups maintain physical testing infrastructure alongside software pipelines. Applying directly to teams advertising lab support, prototype validation, or hardware QA roles will put you in front of the hiring managers most familiar with sponsoring this function.
Confirm your visa type aligns before applying
Intuit sponsors multiple visa categories for Engineering Technicians, including H-1B, E-3, TN, and F-1 OPT. If you're on CPT or J-1, confirm authorization scope with your DSO before accepting any offer, since Engineering Technician duties can trigger questions about practical training alignment.
Use Migrate Mate to find open Engineering Technician roles at Intuit
Browse verified Engineering Technician listings at Intuit filtered by visa type on Migrate Mate. It saves you from manually cross-referencing job boards with DOL disclosure data to confirm which roles are open to sponsored candidates.
Ask about PERM timing if you're targeting permanent residence
If your goal is a Green Card via EB-2 or EB-3, ask the recruiting team during the offer stage whether they initiate PERM for Engineering Technician roles. Some technical support functions at large tech employers have established PERM workflows; others require negotiation.
Engineering Technician at Intuit jobs are hiring across the US. Find yours.
Find Engineering Technician at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Engineering Technicians?
Yes, Intuit sponsors H-1B visas for Engineering Technician roles. The company has an active sponsorship program across its technology functions, and Engineering Technician positions fall within the scope of that program. Your employer will need to file a certified Labor Condition Application with DOL and submit a Form I-129 petition to USCIS on your behalf before you can begin work.
How do I apply for Engineering Technician jobs at Intuit?
You can find open Engineering Technician positions at Intuit through Migrate Mate, which filters listings by visa sponsorship eligibility so you're only seeing roles open to sponsored candidates. Apply directly through Intuit's careers portal once you identify a match. Tailor your application to the specific team, whether that's hardware QA, lab support, or product testing infrastructure.
Which visa types does Intuit commonly sponsor for Engineering Technician roles?
Intuit sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and EB-2/EB-3 immigrant visa pathways for Engineering Technician positions. The right visa depends on your nationality, degree, and career stage. Australian citizens often use the E-3 given its simpler process, while Canadian and Mexican nationals may qualify under TN if the role meets DOL's technician classification.
What qualifications does Intuit expect for sponsored Engineering Technician roles?
Intuit's Engineering Technician roles typically require hands-on technical experience with hardware testing, lab equipment, or electronic systems, often alongside an associate's or bachelor's degree in electrical engineering, electronics technology, or a closely related field. For H-1B sponsorship, USCIS requires the position to qualify as a specialty occupation, so a degree requirement tied specifically to the role's duties is important to establish at the offer stage.
How long does the sponsorship process take for an Engineering Technician at Intuit?
For H-1B transfers or cap-exempt filings, standard USCIS processing runs three to five months, though premium processing can reduce that to 15 business days. E-3 and TN visas can move faster since both are processed at a U.S. consulate or port of entry. PERM-based Green Card sponsorship for EB-2 or EB-3 pathways typically takes one to three years before a visa becomes available, depending on your country of birth.
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