Software development jobs in the United States

Explore software development jobs in the United States. Choose a role or place to find work that fits.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 52,255
Employers: 9,847

Advertised starting pay

Average starting payUSD / year: $140,726Across 11,083 listings
Average starting payUSD / hour: $57.05Across 2,304 listings
Average starting payUSD / month: $12,745Across 58 listings
Average starting payCAD / year: $135,070Across 45 listings
Average starting payUSD / week: $2,051Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 8%4,427 listings
Hybrid: 7%3,600 listings
On-site: 15%7,862 listings

Not specified: 70% (36,366 listings)

Employers hiring include Akamai Technologies, Inc. (775), Lockheed Martin (694), Salesforce.com (608).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in the United States

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Google

Staff Software Engineer, Gemini App, Data Engineering, DeepMind

New York, NY, United States

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Job details

Experience: 8 years of experience in software development.
Posting language: English
Posted: Nov 4, 2026

Original job description

Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Share Staff Software Engineer, Gemini App, Data Engineering, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA; New York, NY, USA; +3 more; +2 more

Share Staff Software Engineer, Gemini App, Data Engineering, DeepMind

info_outline

XIn 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

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: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; Irvine, CA, USA .

Minimum qualifications:

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
8 years of experience in software development.

Preferred qualifications:

Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure.
Experience developing, debugging, and supporting large-scale data pipelines.
Experience with distributed data processing frameworks and workflow orchestration tools.
Experience in Go/C++.
Experience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer.
Ability to address daily business data requirements, ensure that development obstacles are cleared to maintain the Gemini App's changing growth.

About the job

As a part of the Gemini Apps Data Engineering team, you will architect and operate the data pipelines that deliver critical telemetry across all Gemini surfaces. You will combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformative, global product during a time of massive growth!

Gemini’s user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale.

In this role, you will leverage your experience in building and running scalable systems, and utilize modern data warehouse infrastructure at Google, lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps’s analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

Work closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse.
Architect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops.
Own data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets.
Mentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback.
Drive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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 discretionarily 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.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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More about this job

Skills

Data engineering
Computer science
Software development
Apache Spark
Apache Airflow
BigQuery
Snowflake
Debugging
Process data
Workflow
Go
C++
Leadership
Data warehouse
Artificial intelligence
ML
Recruitment

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