• Systems Deployment & Integration: Learn to execute and support the physical and logical integration of complex hardware-software platforms across diverse operational environments.
• Technical Troubleshooting: Assist senior engineers with the installation, configuration, and diagnostics of electromechanical systems, specialized hardware components, and integrated software suites.
• Multidisciplinary Collaboration: Partner with Mechanical, Electrical, and Systems Engineering teams to gain exposure to the full product lifecycle, from prototyping and assembly to final field implementation.
• System Performance & Validation: Assist in tracking and analyzing key performance indicators (KPIs) related to hardware reliability, system uptime, and integration success to ensure technical requirements are met.
• Design & Process Optimization: Identify opportunities to improve technical documentation, assembly checklists, and hardware installation workflows to enhance repeatability and scalability.
• Operational Technology (OT) Navigation: Gain hands-on experience working within specialized environments (e.g., manufacturing floors, secure facilities, or transit hubs) and navigating the constraints of regulated sites.
• Field Operations & Scaling: Contribute to the development of standardized engineering toolkits and deployment manuals to streamline the scaling of physical system rollouts.
• Willingness to travel (up to ~50% as needed).

Job Description

This is a senior, customer-facing role requiring strong domain expertise in industrial automation and a proven ability to guide both technical implementation and strategic solution expansion.

We’re looking for someone who not only enables the initial deployment but also identifies additional opportunities to expand value across the customer’s organization - be it new use cases, integrations, or system-wide architecture improvements.

You’ll be a key technical advisor and trusted partner to both prospective and existing customers.

Pre-Sales Support:

• Partner with Account Executives during discovery to understand customer goals and technical environments.
• Deliver tailored demos, solution architecture walkthroughs, and lead technical proof-of-concepts (PoCs).
• Help prospects align FlowFuse to their broader industrial and digital transformation goals.
• Collaborate on pricing proposals and technical responses to RFPs and security reviews.

Post-Sales Engagement:

• Lead technical onboarding and early solution implementation.
• Partner with customers to assess results, resolve blockers, and optimize solution design.
• Actively explore and surface additional use cases within the customer organization.
• Facilitate roadmap alignment and strategic planning discussions with technical champions.
• Deliver ongoing best practices, architecture reviews, and training to ensure long-term success.

Skills

What We’re Looking For:

• 5+ years in a Solutions Engineering, Sales Engineering, or Customer Success Engineering role.
• Deep industry expertise in industrial automation, IIoT, smart manufacturing, or related fields.
• Track record of identifying additional solution opportunities within enterprise accounts.
• Experience with technologies such as Node-RED, MQTT, OPC-UA, SCADA systems, PLCs, or edge computing.
• Strong communication skills - comfortable engaging engineers, architects, and executive stakeholders.
• High degree of initiative and ability to manage customer relationships across the lifecycle.
• Willingness to travel occasionally for key customer engagements.

Nice to Haves:

• Hands-on experience deploying Node-RED at scale.
• Familiarity with Unified Namespace or other modern industrial data architectures.
• Experience with containerization, cloud (AWS/Azure), or Linux-based edge devices.
• Multilingual skills (e.g., German, French, Spanish).

90-Day Plan

• Week 1-4:
  • Familiarize yourself with the FlowFuse product, platform capabilities, and target customer profiles.
  • Understand existing sales processes, customer success methodologies, and relevant internal tools.
  • Meet with key internal stakeholders across Sales, Product, and Engineering teams.
  • Begin shadowing customer calls, demos, and technical engagements to learn our approach.
  • Review and provide feedback on existing solution architecture documentation and sales enablement materials.
  • Start leading portions of customer demos and technical discussions with guidance.
• Week 5-8:
  • Develop a deep technical understanding of FlowFuse and its integration points within industrial environments.
  • Engage in your first set of technical PoCs, contributing to design and execution
  • Take ownership of specific pre-sales and post-sales customer engagements, leading technical discussions and solution design.
  • Proactively identify and propose opportunities for expanding FlowFuse's value within customer accounts.
• Week 9-13:
  • Contribute to internal knowledge sharing, developing best practices or technical guides based on customer interactions.
  • Start building relationships with customer technical champions to facilitate long-term success and strategic alignment.

Hiring Plan

• Initial Screening: Review resumes and cover letters to assess candidate qualifications, experience, and domain expertise.
• First Interview (Technical & Role Fit): Conduct a phone or video interview to evaluate technical knowledge relevant to industrial automation, IIoT, and solutions engineering, as well as communication skills. Conducted by the hiring manager.
• Second Interview (Deep Dive & Customer Experience): In-depth interview with the hiring manager and other team members to discuss specific experience in customer-facing technical roles, complex problem-solving, and managing customer lifecycles. Conducted by the Head of Professional Services.
• Technical Presentation / Case Study: Candidate will prepare and deliver a presentation on a technical solution or a case study of a past customer engagement demonstrating their problem-solving and communication skills.
• STAR Interview (Behavioral Alignment): A behavioral interview to understand past experiences and assess alignment with FlowFuse's values, initiative, and collaboration style. Conducted by the CEO.
• Final Interview: A final interview with key stakeholders, potentially including a sales leader or executive, to assess strategic alignment and executive presence.
• Offer: Extend an offer to the selected candidate.

We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.

Responsibilities

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.
• Automate recurring data analysis tasks and integrate models into engineering processes.
• Collaborate with design and software teams to embed AI-driven insights into products.
• Create dashboards and visualization tools for reporting and decision-making.
• Document code, models, and processes for transparency and reproducibility.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong skills in data manipulation (Pandas, NumPy, SQL).
• Experience with workflow orchestration (Airflow, Spark, or similar).
• 3–5 years of experience in data engineering or applied AI.
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.

Preferred / Plus

• Familiarity with semiconductor design, verification, or manufacturing datasets.
• Understanding of statistical modeling and predictive maintenance.
• Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
• Knowledge of MLOps principles (deployment, monitoring, CI/CD).

We’re looking for a Security Test Engineer to design and execute test strategies that ensure the robustness and integrity of advanced silicon and IP products. You’ll work across teams to identify vulnerabilities, validate hardware security, and support certification and manufacturing readiness.

Responsibilities

• Define and implement test plans, coverage goals, and design-for-test (DFT) strategies for secure ICs and cryptographic IP.
• Conduct hardware-level vulnerability testing, including fault injection and side-channel analysis.
• Develop automated security test procedures and data analytics for test evaluation.
• Support product qualification, certification, and release-to-manufacturing processes.
• Collaborate with manufacturing teams to maintain security integrity in production.
• Prepare comprehensive documentation and technical reports.
• Mentor team members in hardware security testing best practices.

Qualifications

• 8+ years of experience in semiconductor test, validation, or hardware security evaluation.
• BS/MS in Electrical or Computer Engineering or related field.
• Strong understanding of cryptographic principles, hardware security modules, and tamper-resistant design.
• Hands-on experience with Automated Test Equipment (ATE) or custom hardware setups.
• Proficiency in C/C++, Python, or Tcl for test automation.
• Knowledge of analog/mixed-signal fundamentals and secure memory design.
• Familiarity with standards like FIPS 140-3, Common Criteria, or ISO/IEC 17825.
• Excellent analytical, documentation, and communication skills.