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# Technical Support Engineer

- **Company:** FormFactor
- **Location:** Boulder, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $75,000 - $99,000
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, Network Connections, Salesforce.Com, Software Engineering, System Software, Test Data, Diagnostic Tools, Large Language Models, Deep Learning, Software Troubleshooting, Generative AI, Computer Equipment, Information Technology, Data Analytics, Data Pipelines
- **Published:** November 12, 2026
- **Apply:** https://www.builtincolorado.com/job/sr-technical-support-engineer/12191516?handler=ApplyRedirect

## About the Role

Cryocoolers, Cryogenics, Customer Support Training, Customer Technical Support, Detail-Oriented, Industrial Maintenance, Interpersonal Communication, Salesforce Field Service Lightning, Technical Problem-Solving, Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience | Required, Develop and lead complex AI and data science solutions, shape AI technical strategy, research emerging technologies, resolve large-scale technical problems, and guide cross-functional teams. The role focuses on scalable data solutions, machine learning, deep learning, large language models, generative AI, NLP, computer vision, Python, and Vertex AI. It requires a bachelor's degree and at least five years of progressive data analytics and data science experience.

## Description

The Sr Technical Support Engineer serves as an experienced technical resource for cryogenic chip-scale probe stations used for advanced semiconductor and quantum device characterization. Working independently on complex assignments with limited guidance, this role leads the diagnosis and resolution of system-level problems involving cryogenic, vacuum, electrical, mechanical, motion-control, instrumentation, computer, and software subsystems. The engineer owns critical technical escalations, partners with field service, applications, product support, manufacturing, and design engineering to identify root causes, and influences product reliability, serviceability, troubleshooting methods, and customer outcomes., * Serve as a senior technical escalation resource for field engineers, technicians, applications personnel, product support teams, and customers when standard troubleshooting and first-line escalation processes have not resolved the issue.

 * Independently diagnose and resolve complex, ambiguous, and system-level problems involving cryogenic refrigeration, vacuum systems, thermal interfaces, precision motion, probe positioning, electrical controls, sensors, instrumentation, computer hardware, system software, and network connectivity.
 * Support advanced root-cause and failure analysis using equipment logs, alarm histories, test data, schematics, drawings, bills of material, service records, experiments, and subsystem-level diagnostics; define and validate corrective actions.
 * Handle complex remote and on-site troubleshooting, establish diagnostic strategy, assess technical and customer risk, and determine when part replacement, engineering intervention, containment, or broader corrective action is required.
 * Assist technically complex system installations, configurations, calibrations, acceptance tests, upgrades, recovery efforts, and customer training for cryogenic chip-scale probe stations.
 * Own technical documentation for critical escalations, including problem definition, diagnostic strategy, test results, root-cause conclusions, risk assessment, corrective actions, and final resolution.
 * Identify systemic design, reliability, maintainability, and software issues; translate field evidence into actionable engineering requirements and influence corrective-action priorities and product decisions.
 * Partner with design engineering, software engineering, manufacturing, quality, applications, and service teams to reproduce complex issues, lead technical reviews, validate corrective actions, and drive implementation of service guidance.
 * Develop advanced troubleshooting methodologies, diagnostic tools, service procedures, knowledge articles, work instructions, and training materials that improve support effectiveness and consistency.
 * Establish and model effective handling and diagnostic practices for precision components, samples, cables, probes, and vacuum hardware in accordance with safety, electrostatic discharge, cleanliness, and contamination-control requirements.
 * Domestic or international travel and schedule flexibility may be required to support installations, escalations, or customer needs., Provides senior-level technical support to top-tier customers using Ping Identity products. Responsibilities include troubleshooting, root-cause analysis, issue resolution, customer communication, bug reproduction, escalation leadership, cross-functional collaboration, documentation, mentoring, queue management, and process improvement. The role requires expertise in REST APIs, SSL/TLS, networking, Linux, virtualization, cloud platforms, and identity and access management, with Thursday-to-Monday shifted scheduling and weekend or holiday coverage.
Top Skills: AWSGoogle Cloud PlatformIamIpv4Iso 27001Iso 9001JSONLdapLinuxAzureProxiesRest ApiSsl/TlsVirtualization
Enverus, Territory Manager responsible for selling enterprise SaaS solutions, developing executive and partner relationships, managing pipelines, qualifying opportunities, and achieving revenue targets. The role includes consultative selling, account retention and upselling, business case development, tailored presentations, sales pursuit leadership, CRM and database maintenance, and aligning Enverus solutions with customer objectives. Energy industry experience and knowledge of owner relations, JIB, and revenue processes are preferred.
Top Skills: Generative AiMicrosoft AccessExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSaaSSalesforce
Applied Systems, Artificial Intelligence * Cloud * Payments * Software * Business Intelligence * Generative AI * Automation