764 matching jobs for “Senior Staff Product Engineer”

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Databricks

Senior Staff Applied AI Engineer - Context Retrieval

Mountain View, California, United States +1 location

Pay posted by employer$228,600–$342,800 USD

… is quality you can't ship. Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the …

Added Oct 4, 2026

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Marvell Technology

Senior Staff Test Development Engineer – ATE/Semiconductor

Irvine, California, United States +1 location

Regular

… trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact As a test development senior staff engineer in the Operations business group, you will test features on the silicon semiconductor chips …

Added Nov 3, 2026

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Coupang

[Instant Commerce] Senior Staff Back-end Engineer

Beijing, Beijing, China

Full time (company default)

… & effectiveness) to provide fast and cost-effective experience to our customers and partners. As a senior technical leader in Eats Engineering, you will drive cross-team initiatives that are critical to business …

Added Oct 4, 2026

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Analog Devices

Staff Design Evaluation Engineer

Limerick, Munster, Ireland

… today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . Staff Design Evaluation Engineer Location: Limerick, Ireland Business Unit: Precision Signal Chain, Back-End …

Added Nov 3, 2026

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GE HealthCare Technologies

Staff SW Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II)

… HL7 or FHIR experience. Common Engineering Expectations · Cloud-native and hybrid cloud/on-premises product development using AWS services. · Containers, Kubernetes, CI/CD, Infrastructure as Code and …

Added Oct 27, 2026

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GE HealthCare Technologies

Staff Software Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II) 3 postings

Added Oct 27, 2026

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Becton Dickinson

Staff Electrical Engineer

USA NC - Durham - Roche Drive +8 locations

In person
Full time
Regular

Pay posted by employer$117,800–$188,600 USD

… however, relocation assistance may be considered for the right candidate. Key Responsibilities Serve as a senior member of the Electrical Engineering team, partnering with cross-functional stakeholders to develop and …

Added Oct 27, 2026

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Thermo Fisher Scientific

Staff Engineer Systems design

Hyderabad, Telangana, India

… making sure our food is safe or helping find cures for cancer. Position Summary We are seeking a Staff Systems Engineer to join a growing R&D team in Hyderabad supporting sustaining engineering, VAVE, and …

Added Oct 16, 2026

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Becton Dickinson

Sr. Staff Engineer - Process & Equipment Design

USA NJ - Franklin Lakes

In person
Full time
Regular

Pay posted by employer$168,600–$269,800 USD

… equipment and process technologies for the Specimen Management Business Unit. This role bridges Product Development and Manufacturing by translating new product introductions (NPI) and design changes into …

Added Oct 27, 2026

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Thermo Fisher Scientific

Sr. Staff AI Architect

Bengaluru, Karnataka, India

… Build a connected world for our customers where discoveries happen in a thoughtful way — where every device/product is connected, self-aware, and self-healing—thereby enabling efficient workflows and collaborative science. …

Added Oct 16, 2026

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Databricks

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

Mountain View, California, United States +1 location

Lead / principal

Pay posted by employer$228,600–$314,250 USD

… to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is …

Added Oct 4, 2026

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Palo Alto Networks

Sr Staff Engineer Software- Identity SSO (Idira)

Office - Israel - Petach Tikva

… Single Sign-On and zero-trust framework, protecting sensitive systems. We are looking for a visionary Senior Staff Software Engineer to lead the technical strategy, multi-year architecture, and global engineering …

Added Oct 27, 2026

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Hartford Insurance Group

IND Staff Software Engineer

India GCC-Puppalaguda Village

Regular

The Senior AI Engineer will be responsible for designing, building, and deploying Agentic AI solutions using Google …

Added Nov 3, 2026

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Becton Dickinson

Sr. Staff Engineer, R&D/Medication Delivery

USA NJ - Franklin Lakes +2 locations

In person
Full time
Regular

Pay posted by employer$168,600–$269,800 USD

The Sr. Staff R&D Engineer will be a key contributor within BD Medication Delivery Solutions, Injection Systems team. The …

Added Oct 27, 2026

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GE HealthCare Technologies

Staff Software Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II)

… development. Common Engineering Expectations · Cloud-native and hybrid cloud/on-premises product development using AWS services. · Containers, Kubernetes, CI/CD, Infrastructure as Code and …

Added Oct 28, 2026

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GE HealthCare Technologies

Staff Software Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II)

… development. Common Engineering Expectations · Cloud-native and hybrid cloud/on-premises product development using AWS services. · Containers, Kubernetes, CI/CD, Infrastructure as Code and …

Added Oct 28, 2026

Save job

GE HealthCare Technologies

Staff Software Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II)

… development. Common Engineering Expectations · Cloud-native and hybrid cloud/on-premises product development using AWS services. · Containers, Kubernetes, CI/CD, Infrastructure as Code and …

Added Oct 28, 2026

Save job

GE HealthCare Technologies

Staff Software Engineer

IND19-01-Bengaluru-EPIP 122 (Phase II)

Added Oct 27, 2026

Save job

General Motors

Staff/Principal Software Engineer

Herzliya, Israel

Hybrid
Full time
Regular

… We are a pragmatic, execution-focused engineering organization working across continents, disciplines, and product domains. As our systems expand across platforms, programs, and architectures, we are looking for a highly …

Added Oct 12, 2026

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Marvell Technology

Senior Staff Field Application Engineer - Connectivity

Santa Clara, California, United States

Regular

… and analytical abilities. Ability to work independently and collaboratively across engineering, sales, and product marketing teams. Flexibility to travel as needed to customer sites (assume 25% travel to primarily West …

Added Nov 3, 2026

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Databricks

Senior Staff Applied AI Engineer - Context Retrieval

Mountain View, California, United States +1 more

Pay posted by employer$228,600–$342,800 USD

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What We're Looking For · employer excerpt

10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.

3 more in the full description below.

About this opportunity

Original employer description

P-1549

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.

The Mission

Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.

We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:

Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.

If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.

What You Will Do

Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.

What We're Looking For

10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.

Nice to Have

Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
Experience training or fine-tuning embedding models, rerankers, or query understanding models.

Why This Role

Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.

Location

This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.

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

$228,600—$342,800 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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