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Sr Staff Software Engineer Jobs in Renton, WA (NOW HIRING)

Senior Staff Software Engineer, AI/ML

Seattle, WA · On-site

$139K - $183K/yr

Share Senior Staff Software Engineer, AI/ML * link Copy link corporate_fare Google place Kirkland, WA, USA ; Seattle, WA, USA ; +2 more ; +1 more Advanced Experience owning outcomes and decision ...

Because at UKG, your work matters-and so do you. Sr. Staff Software Engineer-ENG UKG is seeking a Sr Staff Software Engineer with deep platform and full-stack expertise to play a critical leadership ...

Because at UKG, your work matters-and so do you. Sr. Staff Software Engineer-ENG UKG is seeking a Sr Staff Software Engineer with deep platform and full-stack expertise to play a critical leadership ...

As a Staff Engineer our Data Platform team, you will help define and implement capabilities for ... Bachelor's degree in Computer Science, Software Engineering, Data Engineering , or equivalent ...

Senior Staff Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Staff Engineer our Data Platform team, you will help define and implement capabilities for ... Bachelor's degree in Computer Science, Software Engineering, Data Engineering , or equivalent ...

Senior Staff Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Staff Engineer our Data Platform team, you will help define and implement capabilities for ... Bachelor's degree in Computer Science, Software Engineering, Data Engineering , or equivalent ...

Senior Staff Engineer

Seattle, WA

$118K - $163K/yr

Position Description Our Senior Staff Software Engineer works with our Manager, Distinguished and Sr. Engineers to innovate and build new systems, improve, and enhance existing systems and identify ...

Senior Staff Software Engineer, AI/ML

Kirkland, WA · On-site

$139K - $183K/yr

As a Senior Staff Software Engineer for AI/ML Security, you will serve as the primary technical visionary for Model Armor and Sensitive Data Protection, supporting the strategy to secure LLMs against ...

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Sr Staff Software Engineer information

See Renton, WA salary details

$68.1K

$181.3K

$247.5K

How much do sr staff software engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sr staff software engineer in Renton, WA is $181,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,300.00 and $214,300.00 per year, depending on experience, location, and employer.

What is a Sr Staff Software Engineer?

Sr Staff Software Engineers are highly experienced technical professionals responsible for leading complex engineering projects and setting technical direction within organizations. They often mentor other engineers, influence architectural decisions, and collaborate across departments to ensure software quality and scalability. This role typically requires deep expertise in software development, strong problem-solving skills, and the ability to guide teams in adopting best practices and innovative solutions.

How does a Sr Staff Software Engineer typically influence technical direction and mentor other engineers within an organization?

As a Sr Staff Software Engineer, you are often expected to set the technical vision for major projects, making high-impact architectural decisions and ensuring best practices are followed across teams. You will regularly collaborate with engineering managers, product managers, and other senior engineers to align technical solutions with business goals. In addition, mentoring junior engineers and providing guidance during code reviews or design discussions are key parts of the role, helping to foster technical excellence and accelerate team growth.

What are the key skills and qualifications needed to thrive as a Sr Staff Software Engineer, and why are they important?

To thrive as a Sr Staff Software Engineer, you need advanced expertise in software architecture, coding, and system design, typically supported by a degree in computer science or related field and significant engineering experience. Mastery of programming languages (such as Java, Python, or C++), cloud platforms, version control systems, and familiarity with DevOps tools or relevant certifications are highly valued. Exceptional leadership, mentorship, and effective communication skills help you collaborate across teams and guide technical direction. These skills ensure you can deliver scalable solutions, drive complex projects, and influence technical strategy within the organization.

What is the difference between Sr Staff Software Engineer vs Staff Software Engineer?

AspectSr Staff Software EngineerStaff Software Engineer
Required CredentialsBachelor's or Master’s in CS or related field; extensive experienceBachelor's or Master’s in CS or related field; significant experience
Work EnvironmentTechnical leadership, complex project ownershipTechnical expertise, project contribution
Industry UsageUsed in large tech companies, R&D teamsCommon across tech firms, startups, enterprise
Search/Comparison IntentUnderstanding senior technical rolesClarifying seniority levels in engineering

The main difference between a Sr Staff Software Engineer and a Staff Software Engineer lies in their level of technical leadership and scope of impact. Sr Staff Engineers typically lead complex projects, influence technical strategy, and mentor senior engineers, whereas Staff Engineers focus on technical expertise and project contributions. Both roles require strong technical credentials and experience, but Sr Staff Engineers operate at a higher strategic level within organizations.

What job categories do people searching Sr Staff Software Engineer jobs in Renton, WA look for?

The top searched job categories for Sr Staff Software Engineer jobs in Renton, WA are:

What cities near Renton, WA are hiring for Sr Staff Software Engineer jobs?

Cities near Renton, WA with the most Sr Staff Software Engineer job openings:

Infographic showing various Sr Staff Software Engineer job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $181,263 per year, or $87.1 per hour.

Senior Staff Software Engineer, AI Developer Tools, Cloud Gemini Enterprise

Kirkland, WA • On-site

Google Inc.
Software Development • 10K+ employees

$139K - $183K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Design the unifying protocols and distributed execution layers connecting client-side developer tools, Cloud infrastructure, autonomous code transformation pipelines, and sandboxed VM runtimes in Vertex AI.

  • Own the multi-year technical outlook, architectural cohesion, and engineering standards for the AI Developer Tools organization.

  • Serve as the principal architectural authority across all three pillars of the AI Developer Tools team.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Senior Staff Software Engineer, AI Developer Tools, Cloud Gemini Enterprise

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience designing developer toolchains and orchestrating production-scale AI agents.
  • Experience architecting in VM/container sandboxing, high-throughput networking, and enterprise compliance.
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As the Senior Staff Engineer for Developer Intelligence, you will serve as the principal architectural authority across all three pillars. Similar to principal technical leadership at the broader AI Developer Tools (AIDT) organization level, you will own the multi-year technical outlook, architectural cohesion, and engineering standards for our entire engineering organization across New York City and the West Coast.

In this role, you will design the unifying protocols and distributed execution layers that connect client-side developer tools, Cloud infrastructure, autonomous code transformation pipelines, and sandboxed VM runtimes in Vertex AI capable of hosting first-party agents and third-party/custom agents.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As the Senior Staff Engineer for Developer Intelligence, you will serve as the principal architectural authority across all three pillars. Similar to principal technical leadership at the broader AI Developer Tools (AIDT) organization level, you will own the multi-year technical outlook, architectural cohesion, and engineering standards for our entire engineering organization across New York City and the West Coast.

In this role, you will design the unifying protocols and distributed execution layers that connect client-side developer tools, Cloud infrastructure, autonomous code transformation pipelines, and sandboxed VM runtimes in Vertex AI capable of hosting first-party agents and third-party/custom agents.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

  • Design the end-to-end AI developer platform and establish technical roadmaps that maximize modularity across tools, autonomous agents, and Cloud infrastructure.
  • Advocate for industry-leading agent communication standards (e.g., MCP, LSP) and establish robust isolation primitives for executing untrusted third-party code.
  • Set exceptional performance and latency standards, leading architecture design reviews to proactively eliminate systemic risks and technical debt.
  • Serve as a senior technical mentor, cultivating a culture of deep technical aptitude and proactive knowledge sharing across Google Cloud.
  • Partner with Principal and Distinguished Engineers across Vertex AI, DeepMind, and Cloud Security to align cross‑organizational initiatives.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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