Jobs in the United States

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Added 2 mins ago
Principal Systems Development Engineer
Round Rock, TX · TX
As a Principal System Development Engineer, you will be responsible for designing and building automation platforms that validate data center rack infrastructure at scale. You will work…
Added 4 mins ago
26-1136: AI Engineer 3 - Herndon, VA
Navitas Business Consulting
Herndon, VA
Navitas is seeking an experienced AI Engineer to support enterprise AI/ML architecture initiatives, governance frameworks, and agentic AI capabilities across federal modernization programs.…
Added 10 mins ago
Quality Engineer
Infosys
United States
…transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by…
Added 17 mins ago
Research Engineer
Gauntlet
Remote, United States
Gauntlet is looking for an AI Research Engineer to help improve how we build, evaluate and use AI agents across the business.
Added 25 mins ago
Staff Backend Software Engineer- (AI Platform)
Databricks
San Francisco, CA · Mountain View, CA
As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable…
Added 32 mins ago
G
Engineer I - Forward Deployed Engineer
GSK
Cambridge, MA
- $95,700 to $159,500 USD / year
…disease, thereby protecting people and supporting healthcare…
Added 46 mins ago
IG
TS/SCI Full Stack Software Engineer
Insight Global
Beavercreek, OH
- From $68 USD / hour
Experience with Elasticsearch/OpenSearch or distributed search systems
Added 57 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer on the Optum Technology team, you will drive the design, development, and deployment of enterprise-grade machine learning models and artificial intelligence…
Added 1 hour ago
Senior AI Engineer
P&G US Business Serv Co
United States
The Senior AI Engineer is part of our Data, Analytics, and AI job family. This job family is responsible for transforming large complex data sets into pragmatic, actionable insights.…
Added 1 hour ago
Hybrid South Carolina Cloud Engineer – Managed IT Services (5117)
SMX
Columbia, SC · Hollywood, MD
We are looking for a skilled Cloud Engineer to join our State and Local Platforms and Data Managed Services team. As a core member of our operations group, you will work across multiple…
Added 1 hour ago
Staff Machine Learning Engineer, Model Platform
Wonder Group, INC
NY
We're hiring a Staff Machine Learning Engineer with deep Java backend experience to set the technical direction for how our models and services work together. You'll define how every team…
Added 1 hour ago
Product Manager / Engineer -- TS/SCI
Parsons Technical Services, Inc.
VA
Serve as the primary Product Manager & Systems Engineer for the Joint Staff CDAO development POD, owning the end-to-end implementation and successful delivery of data, analytics, and…
Added 1 hour ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 1 hour ago
Senior Software Development Engineer, EC2 Trainium AI Infra
Amazon.com Services LLC
Seattle, WA
The Software Development Engineer will lead the team in technical strategy, design, build, and operation of infrastructure services including provisioning and availability of AWS…
Added 1 hour ago
Software Development Engineer
Amazon.com Services LLC
Seattle, WA
You’ll be part of the core engineering team responsible for the systems that power ad delivery, performance optimization, and reporting across devices. These systems process hundreds of…
Added 1 hour ago
Network Security Engineer, ADC Security
Amazon.com Services LLC
Herndon, VA
A Security Engineer in Amazon will be strong in multiple security domains and sought out for advice on technical issues. Efficient time management skills are required along with the ability…
Added 1 hour ago
IG
REMOTE ML Ops Engineer
Insight Global
Remote, United States
- From $71 USD / hour
…within their environment and are seeking an experienced MLOps Engineer to help operationalize, scale, and support AI solutions in…
Added 1 hour ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Applied AI Architect
Databricks
Remote, United States
…orchestration, guardrails, AI evaluation, and observability…
Added 1 hour ago
Process Integration and Technology Development Engineer
onsemi
Gresham, OR
The Process Integration and Technology Development Engineer defines, develops, and implements silicon process technology for the manufacture of integrated silicon devices. The successful…
Added 1 hour ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
…infrastructure support for integrations and multiple SAP S/4HANA systems, develop infrastructure as code (IaC) to provision, configure, and maintain secure, scalable, and reliable cloud…
Added 1 hour ago
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Data Engineer
Kforce
Irving, TX
- $52 to $57 USD / hour
Kforce has a client in Irving, TX that is seeking a Data Engineer.
Added 1 hour ago
Staff Machine Learning Engineer
Indeed
United States
As a Staff Machine Learning Engineer in our Staffing Technology Marketplace group, you'll own the source data, the models and the business impact behind Indeed's AI-first staffing platform,…
Added 1 hour ago
Senior Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
As a Senior Engineer in the Databricks practice, you will bring a curious mindset and a passion for
Added 1 hour ago
Senior Architect Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.

Databricks

Staff Backend Software Engineer- (AI Platform)

San Francisco, CA, United States
Mountain View, CA, United States

$192,000 - $260,000 USD

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Job details

Pay: $192,000 - $260,000 USD
Experience: 10+ years of experience building and operating large-scale distributed systems.
Posting language: English
Posted: Mar 31, 2026

Original job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.

As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.

The impact you will have:

Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.
Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.
Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale.
Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.
Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.
Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.

What we look for:

10+ years of experience building and operating large-scale distributed systems.
Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).
Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.
Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.
Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.
Strong communication skills and ability to collaborate across teams in fast-moving environments.
Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
Passion for mentoring, growing engineers, and fostering technical excellence.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000 - $260,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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