Manufacturing Intelligence Engineer

Instrumental, Inc.•Palo Alto, CA

About The Position

As a Manufacturing Intelligence Engineer, you’ll sit at the frontier of Instrumental’s next-generation AI product — using Solve to turn messy manufacturing data into fast, evidence-backed root cause investigations — eliminating “Chip to Token” bottlenecks. You’ll work directly with customer engineering teams, CSPs, and OEMs to answer high-stakes questions, drive corrective actions at manufacturing sites, and prove measurable impact on yield, throughput, bonepile recovery, and time-to-market. This is a role for someone who wants to be both an engineer and a detective: applying sharp technical judgment on top of AI to help the world’s most advanced hardware teams move faster. Manufacturing advanced electronics requires understanding millions of signals generated across complex assembly processes. Instrumental builds systems that capture and analyze those signals — images, test results, and process data — enabling engineers to discover failures, identify root causes, and deploy production controls that improve yield and product maturity. Leading companies such as NVIDIA, Cisco, and Meta rely on Instrumental to accelerate new product development and scale manufacturing across global factories. Instrumental has become mission-critical for manufacturers building and scaling the next generation of AI infrastructure hardware.

Requirements

Hands-on experience in electronics or semiconductor manufacturing — whether in failure analysis, test engineering, process engineering, quality, hardware development, or a similar technical role.
Comfortable working with messy, real-world manufacturing data to identify patterns, form hypotheses, and determine what evidence is needed before recommending action.
Knows how to investigate root cause across production data, test data, supply chain data, process history, product context, and customer-reported symptoms.
Drives corrective actions and can demonstrate measurable impact on yield, failure analysis cycle time, throughput, scrap/rework, or bonepile recovery.
Communicates complex technical findings clearly to diverse audiences: engineering teams, OEM/CSP stakeholders, manufacturing operators, and internal teammates.
Excited to work with next-generation AI tools and apply rigorous engineering judgment to AI-generated findings.
Product-minded — can spot workflow friction, identify product gaps, and recognize repeatable customer use cases while staying focused on delivering outcomes.
Thrives in ambiguity, takes ownership without waiting for perfect instructions, and is energized by solving hard technical problems with real customer stakes.

Responsibilities

Own customer investigations using Instrumental Solve, turning ambiguous manufacturing questions into structured analyses, validated findings, and recommended next steps.
Work directly with customer engineering teams, OEMs, CSPs, and manufacturing stakeholders to investigate issues impacting yield, throughput, failure analysis time, bonepile recovery, scrap/rework, or time-to-market.
Use manufacturing data across production, test, supply chain, environment, product, logs, and customer-reported issues to identify patterns, form hypotheses, and pressure-test likely root causes.
Drive corrective actions with customer teams and manufacturing sites, ensuring findings lead to real changes in process, product, supplier, or operational behavior — building credibility and driving sustained Solve adoption along the way.
Quantify the impact of Solve investigations by connecting actions taken to measurable improvements in customer manufacturing metrics.
Partner closely with Instrumental Product and Engineering to identify product gaps, repeatable use cases, and workflow improvements that make Solve more valuable across customers.
Help define how Instrumental delivers Solve outcomes as the product scales, including investigation playbooks, customer workflows, and best practices for closing the loop from insight to impact.