625 matching jobs for “Staff System Applications Engineer”
How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
Taiwan, Taipei, Songgao
… ADI’s Consumer Audio team working with leading OEMs to deliver next-generation audio playback systems. As a Staff System Applications Engineer , you will serve as a system-level technical expert and customer-facing authority, driving the successful …
Added Nov 3, 2026
Newbury, England, United Kingdom
… signal chains using RF cascade concepts like Gain, noise figure, linearity, and power. Engage with internal applications and marketing team members to translate their system requirements into next generation product definitions …
Added Nov 3, 2026
Munich, Bavaria, Germany
… FPGA‑, and microcontroller‑based platforms Develop and integrate FPGA IP and embedded software for system ‑level and application‑specific solutions Perform system bring‑up, validation, and lab integration , …
Added Nov 3, 2026
Bengaluru, Karnataka, India
Full time (company default)
… operations platform. Design, develop, and optimize small language models for domain-specific and enterprise applications . Fine-tune SLMs to improve accuracy, performance, and task-specific capabilities. Optimize models for …
Added Oct 4, 2026
TFS
Thermo Fisher Scientific
Fremont, California, United States
Pay posted by employer $135,900–$170,000
… to help customers advance discovery and address global challenges. How will you make an impact? As a Staff System Design Engineer in the Electrical Failure Analysis (EFA) business unit, you will design, develop, …
Added Oct 27, 2026
Austin, Texas, United States
Staff Field Applications Engineer – Power Solutions Location: Austin, Texas Travel: 20% within territory About …
Added Nov 3, 2026
Mountain View, California, United States
Pay posted by employer $233,900–$321,650 USD
Senior Staff Software Engineer, Agentic Applications Enterprise Platform Group · Commercialization (Quote-to-Cash) · …
Added Nov 3, 2026
Mountain View, California, United States
Pay posted by employer $198,200–$272,600 USD
As Sr. Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery …
Added Oct 4, 2026
San Jose, California, United States
Pay posted by employer $150,978–$218,624
… today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . Staff Power Applications Engineer (Data Center) At ADI, we are building the next generation of high-performance …
Added Nov 3, 2026
San Jose, California, United States +1 location
Pay posted by employer $150,978–$218,624
As a System Engineer, you will own the system development of high-voltage power converters — from power system …
Added Nov 3, 2026
Warren, Michigan, United States +1 location
… Systems Engineering Team represents two of the eight Mech Infra Systems teams: the Mech Infra Programming System and the Controller Hardware System (EIO/HWIO); the other six are Diagnostics, Ethernet Communications, …
Added Oct 12, 2026
Salisbury, Maryland, United States
Pay posted by employer $95,000–$110,000 USD per year
… series, etc., based on customer requirements Creating part numbers in Enterprise Resource Planning (ERP) system Assigning appropriate product pricing using the released internal pricing guide as a reference Developing …
Added Nov 3, 2026
Milford, Michigan, United States of America +3 locations
… that support software-defined vehicles. This role will help lead the transition from a legacy Make-based system to Bazel, Google’s open-source build tool, improving speed, reliability, and robustness across the …
Added Oct 12, 2026
JP-Yokohama, Japan (Logicross Yokohama)
Principal Accountabilities Produce new software applications for our warehouse applications team. Evaluates progress and results of development efforts. Execute, …
Added Oct 30, 2026
TFS
Thermo Fisher Scientific
Pleasanton, California, United States
Pay posted by employer $135,900–$170,000
… environment, making sure our food is safe or helping find cures for cancer. Description Join our team as a Staff , Systems Design – System Architect at Thermo Fisher Scientific. This role provides architecture and …
Added Oct 27, 2026
Bloomington, Minnesota, United States
Pay posted by employer $84,300–$170,500
As a Field Applications Engineer at Arrow Electronics, you will help our customers select and design electronic components and …
Added Oct 27, 2026
Mountain View, California, United States +1 location
Pay posted by employer $172,200–$236,850 USD
Location: San Francisco or Mountain View, California GAQ327R225 Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks that enables any internal team …
Added Oct 4, 2026
McLean, Virginia, United States +3 locations
Staff Engineer As a Staff Engineer at Capital One, you will be part of a community of technical experts working …
Added Oct 27, 2026
Warren, Michigan, United States
… – integrated vehicles, power and propulsion, autonomy, mobility, and security. GM Defense IT is seeking a Staff System Analyst to lead complex business and technology initiatives supporting key areas of the business …
Added Oct 12, 2026
Houston, Texas, United States
Pay posted by employer $153,000–$187,500
… configuration, workflow design, and business readiness. Configure, Maintain and administer VG’s enterprise applications to meet business requirements. Partner with site safety, environmental, engineering, and quality leaders to …
Added Nov 3, 2026
Mountain View, California, United States +1 more
Pay posted by employer $172,200–$236,850 USD
What we look for · employer excerpt 8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products. Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service. Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part. Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical… Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count. 3 more in the full description below.
About this opportunity Original employer description Location: San Francisco or Mountain View, California
GAQ327R225
Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks that enables any internal team (GTM, Finance, HR, Legal, Product) to build production grade agentic applications in weeks, not months. The platform provides a managed agent runtime, standardized MCP connectors to enterprise systems of record, a shared UI component library with a design system, an intelligence data/context layer and a gold-standard promotion pipeline from prototype to production.
As a Staff Product Manager , you will own the product strategy, roadmap, and execution for the Agentic Platform the foundational layer that every domain workspace depends on. You will work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience, and governance to deliver a platform that reduces time-to-production from months to weeks while maintaining enterprise grade quality, security, and reliability. You will partner closely with Application Engineering, the CIO organization, and domain teams across GTM, HR, Finance, and Product to ensure the platform serves real needs and scales with the organization.
The impact you will have:
Own the Agentic Platform strategy and roadmap. Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria.
Define and drive the agent and runtime. Establish the managed agent runtime supporting multi step orchestration with durable execution, model gateway abstraction across all providers, governed tool invocation, and configurable per-agent guardrails (cost ceilings, timeouts, blast radius limits).
Build the MCP connector ecosystem. Own the strategy for standardized, bidirectional connectors various systems of record. Drive on behalf of identity propagation, idempotency, dry-run/preview mode, and a connector SDK that lets domain teams onboard new systems without platform changes.
Establish the intelligence layer. Define the three layer data architecture: knowledge graph (curated domain knowledge), context graph (live entity state from systems of record), and temporal memory (session, user preferences, and episodic history). Ensure unified retrieval across vector, structured, and graph sources with source traceability on every context element.
Ship the evaluation and quality framework. Own the AI-judge evaluation pipeline: offline eval with golden datasets, online LLM-as-judge scoring, domain-specific judges (Finance, HR, Legal, Sales), and mandatory evaluation gates in CI/CD. No agent reaches production without passing quality and safety thresholds.
Design the developer experience. Make the platform self-service by construction. Domain teams provision agent projects, promote across environments, and access connectors without platform-team tickets. SDK, CLI, sandbox environments, agent templates, and documentation — the paved road must be faster than building bespoke. Target: idea to production in <4 weeks for a standard agent.
Define the federation and adoption model. Establish the three tiers of adoption (platform built, domain built on platform, citizen developer edge apps) with governance checkpoints at each gate. Drive the gold-standard promotion pipeline from edge prototype to production hardened service.
What we look for:
8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products.
Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service.
Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part.
Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work.
Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count.
Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alignment.
Strong written communication strategy documents, PRDs, and executive briefs that drive alignment at VP and CIO level.
Comfort with ambiguity, you will define the roadmap for capabilities that don't exist yet, in a space that is evolving weekly.
Nice to have:
Experience with Databricks, Lakehouse architecture, Unity Catalog, MLflow, or Delta Lake.
Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks.
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or AG-UI protocols.
Experience building AI evaluation frameworks LLM-as-judge, red-teaming, or automated quality scoring.
Experience with design systems, component libraries, or frontend platform work.
Background in enterprise SaaS platform consolidation or migration.
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 .
Zone 1 Pay Range
$172,200 — $236,850 USD
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
$172,200 — $258,400 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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