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Silicon Foundry Interface Engineer Jobs (NOW HIRING)

IT America Inc

Palantir Foundry Engineer

Nashville, TN · On-site

Palantir Foundry Engineer Location: Nashville, TN Duration: 6 Months Role Summary: Hands-on Foundry ... Applications & Interfaces: Expose ontology-backed data to Workshop/Slate apps wire Actions and AIP ...

Blue Origin

Sr Foundry Engineer

Seattle, WA

$197K - $276K/yr

... interface with world-class semiconductor foundry partners (e.g., TSMC, GlobalFoundries ... silicon accuracy across technology nodes. * Collaborate with production engineering to establish ...

Psionic

Silicon Photonics Engineer

Hampton, VA · On-site

Silicon Photonics Engineer Psionic, Inc is a startup focused on lidar sensors and navigation ... The role requires experience with PIC layout tools and foundry tape outs to complement our on-site ...

Psionic, LLC

Silicon Photonics Engineer

Hampton, VA · On-site

Silicon Photonics Engineer Psionic, Inc is a startup focused on lidar sensors and navigation ... The role requires experience with PIC layout tools and foundry tape outs to complement our on-site ...

Psionic

Silicon Photonics Engineer

Hampton, VA · On-site

Silicon Photonics Engineer Psionic, Inc is a startup focused on lidar sensors and navigation ... The role requires experience with PIC layout tools and foundry tape outs to complement our on-site ...

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How much do silicon foundry interface engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for silicon foundry interface engineer in the United States is $80,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Silicon Foundry Interface Engineer position, and why are they important?

To thrive as a Silicon Foundry Interface Engineer, you typically need a strong background in semiconductor physics, process integration, and a relevant engineering degree such as electrical, materials, or chemical engineering. Familiarity with foundry process flows, EDA tools (like Cadence, Synopsys), and knowledge of standards such as JEDEC or SEMI, as well as experience in silicon fabrication and yield analysis, are highly valued. Excellent problem-solving abilities, cross-functional communication, and project management skills help in bridging foundry capabilities with design teams and customers. These skills and qualities are critical for ensuring smooth collaboration between internal teams and external foundry partners, helping to deliver high-quality silicon products on schedule.

What is a Silicon Foundry Interface Engineer job?

A Silicon Foundry Interface Engineer acts as the primary liaison between semiconductor design teams and external silicon foundries. They ensure that manufacturing processes align with design specifications, optimizing yield and performance. Responsibilities include managing design rule checks (DRC), process design kits (PDK), fabrication schedules, and addressing technical challenges during production. This role requires expertise in semiconductor process technology, fabrication flows, and working closely with foundry partners. Effective communication and problem-solving skills are crucial for maintaining smooth manufacturing operations.

What are some common challenges faced by Silicon Foundry Interface Engineers, and how can they be addressed?

Silicon Foundry Interface Engineers often encounter challenges related to aligning design requirements with foundry process limitations and maintaining effective communication between diverse technical teams. Navigating rapidly changing specifications and troubleshooting yield or manufacturing issues require strong analytical skills and adaptability. To overcome these hurdles, it’s essential to build strong relationships with both internal stakeholders and foundry representatives, stay current with process technology updates, and proactively address potential bottlenecks. This collaborative approach helps ensure project timelines are met and product quality is maintained. Additionally, a willingness to learn and continuously improve is invaluable for keeping pace in this fast-evolving field.

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Silicon Foundry Interface Engineer jobs near you
Infographic showing various Silicon Foundry Interface Engineer job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,416 per year, or $38.7 per hour.
Palantir Foundry Engineer

Palantir Foundry Engineer

IT America Inc

Nashville, TN • On-site

Contractor

Posted yesterday

Job description

Position: Palantir Foundry Engineer

Location: Nashville, TN

Duration: 6 Months

Role Summary:

Hands-on Foundry specialist who can design ontology-first data products, engineer high-reliability pipelines, and operationalize them into secure, observable, and reusable building blocks used by multiple applications (Workshop/Slate, AIP/Actions). You’ll own the full lifecycle: from raw sources to governed, versioned, materialized datasets wired into operational apps and AIP agents.

Core Responsibilities:

  • Ontology & Data Product Design: Model Object Types, relationships, and semantics; enforce schema evolution strategies; define authoritative datasets with lineage and provenance.
  • Pipelines & Materializations: Build Code Workbook transforms (SQL, PySpark/Scala), orchestrate multi-stage DAGs, tune cluster/runtime parameters, and implement incremental + snapshot patterns with backfills and recovery.
  • Operationalization: Configure schedules, SLAs/SLOs, alerts/health checks, and data quality tests (constraints, anomaly/volume checks); implement idempotency, checkpointing, and graceful retries.
  • Governance & Security: Apply RBAC, object-level permissions, policy tags/PII handling, and least-privilege patterns; integrate with enterprise identity; document data contracts.
  • Performance Engineering: Optimize joins/partitions, caching/materialization strategies, file layout (e.g., Parquet/Delta), and shuffle minimization; instrument with runtime metrics and cost controls.
  • Dev Productivity & SDLC: Use Git-backed code repos, branching/versioning, code reviews, unit/integration tests for transforms; templatize patterns for reuse across domains.
  • Applications & Interfaces: Expose ontology-backed data to Workshop/Slate apps wire Actions and AIP agents to governed datasets; publish clean APIs/feeds for downstream systems.
  • Reliability & Incident Response: Own on-call for data products, run RCAs, create runbooks, and drive preventive engineering.
  • Documentation & Enablement: Produce playbooks, data product specs, and runbooks; mentor engineers and analysts on Foundry best practices.

Required Qualifications:

  • 7+ years in data engineering/analytics engineering with 4+ years hands-on Palantir Foundry at scale.
  • Deep expertise in Foundry Ontology, Code Workbooks, Pipelines, Materializations, Lineage/Provenance, and object permissions.
  • Strong SQL and PySpark/Scala in Foundry; comfort with UDFs, window functions, and partitioning/bucketing strategies.
  • Proven operational excellence: SLAs/SLOs, alerting, data quality frameworks, backfills, rollbacks, blue/green or canary data releases.
  • Fluency with Git, CI/CD for Foundry code repos, test automation for transforms, and environment promotion.
  • Hands-on with cloud storage & compute (AWS/Azure/GCP), file formats (Parquet/Delta), and cost/perf tuning.
  • Strong grasp of data governance (PII, masking, policy tags) and security models within Foundry.

Nice to Have:

  • Building Workshop/Slate UX tied to ontology objects; authoring Actions and integrating AIP use cases.
  • Streaming/event ingestion patterns (e.g., Kafka/Kinesis) materialized into curated datasets.
  • Observability stacks (e.g., Datadog/CloudWatch/Prometheus) for pipeline telemetry; FinOps/cost governance.
  • Experience establishing platform standards: templates, code style, testing frameworks, domain data product catalogs.

Success Metrics (90–180 Days):

  • ≥99.5% pipeline success rate, with documented SLOs and active alerting.
  • <20% runtime/cost reduction via optimization and materialization strategy.
  • Zero P1 data incidents and ≤4h MTTR with playbooks and automated remediation.
  • 3+ reusable templates (ingestion, CDC, enrichment) adopted by partner teams.
  • Ontology coverage for priority domains with versioned contracts and lineage.

Example Work You’ll Own:

  • Stand up incremental CDC pipelines with watermarking & late-arrivals handling; backfill historical data safely.
  • Define business-ready ontology for a domain and wire it to Workshop apps and AIP agents that trigger Actions.
  • Implement DQ gates (null/dup checks, distribution drift) that fail fast and auto-open incidents with context.
  • Build promotion workflows (dev → staging → prod) with automated tests on transforms and compatibility checks for ontology changes.