Shape Testing Strategy for AI-Native Products

• Design and own end-to-end test strategies,automated and manual,for products that integrate LLMs, generative AI, and complex data pipelines.
• Develop novel evaluation frameworks for LLM output quality, prompt regression testing, and RAG retrieval accuracy.
• Select, implement, and continuously improve testing tools and frameworks in collaboration with engineering leadership and platform excellence teams.
• Drive a measurable shift from manual to automated testing, with clear metrics to track progress.

Own Quality and Release Readiness

• Be the single point of accountability for testing across all releases of your two products.
• Build and maintain automation frameworks and scripts that keep pace with rapid release cycles.
• Analyse test results, spot trends, and turn data into actionable improvements,not just reports.
• Prepare release-readiness documentation and quality artifacts that satisfy both internal stakeholders and GxP compliance requirements.

Lead, Coach, and Build Culture

• Partner with engineering managers, scrum masters, and delivery leads across squads and geographies to establish a shared quality vision.
• Lead external contract test engineering squads by influence,setting standards, mentoring team members, and modelling engineering excellence.
• Champion a quality-engineering mindset: everyone ships quality, not just the test team.
• Stay hands-on,write test cases, debug failures, and pair with engineers when the situation calls for it.

Essential Skills and Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field (or equivalent practical experience).
• 10+ years of hands-on software test engineering experience across the full stack (UI, API, data).
• Proven ability to lead test strategy and mentor other test engineers,whether through formal management or technical leadership.
• Strong automation skills with modern frameworks such as Playwright, Selenium, or Cypress, plus scripting fluency in Python or a comparable language.
• Solid experience with REST API testing, database validation (PostgreSQL, MongoDB, or similar), and CI/CD-integrated test pipelines.
• A data-driven approach to quality: you define metrics, instrument dashboards, and use evidence to drive decisions.

Highly Preferred

• Experience testing AI/ML-powered products,especially LLM evaluation, prompt testing, RAG validation, or output-quality benchmarking.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.

If you're looking for a role where deep test engineering craft meets the frontier of AI,and where your work genuinely improves patient outcomes,this is it.

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Key responsibilities:

Own the technical journey - Lead end-to-end onboarding for new customers,from authentication setup to data mart configuration

Integrate customer systems with Zus (APIs, SFTP, HL7, FHIR,the whole interoperability stack)

Translate messy business requirements into clean technical architectures

Build and maintain automated workflows that make implementations faster and more reliable

Drive customer success through technical excellence - Be the trusted technical advisor customers call when things get complicated

Run technical deep dives and implementation reviews that actually move the needle

Identify integration risks before they become blockers and solve them proactively

Train customers on best practices so they become power users, not support tickets

Innovate on process - Use AI tools (LLMs, automation platforms, scripting) to eliminate manual work and scale your impact

Build templates, scripts, and tooling that make the 10th implementation faster than the 1st

Document learnings and create repeatable playbooks through automation that make the whole team better

Collaborate with R&D - Partner closely with Product and Engineering to surface integration challenges and opportunities for platform improvement

Translate real-world customer integration patterns into product feedback and roadmap insights

Collaborate with R&D teams on emerging capabilities around AI, data pipelines, and developer tooling

Act as the voice of the customer when identifying opportunities to improve developer experience and reduce integration friction

You'll enjoy solving messy integration challenges, building automation that eliminates manual work, and partnering closely with Product and Engineering to continuously improve the platform.

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You'll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow's dashboards.

Responsibilities:

• Spin up lightweight client libraries, demo apps, or event microsites in a few hours.
• Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.
• Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).
• Our content consistently drives qualified sign-ups and sparks industry conversations.
• Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”
• Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”

Nice to have:

• Prior experience in PLG or developer-tool startups
• Familiarity with growth analytics stacks
• A portfolio of technical writing, open-source libs, or side projects

Compensation:

$170,000 - $220,000 + equity + comprehensive benefits package

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Software Engineer  - Silicon Validation Tools (SerDes)

Mississauga, Ontario, Canada

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Category: EngineeringHire Type: Employee

Job ID 16183Date posted 03/22/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a hands-on software engineer passionate about bridging the gap between hardware and software in high-speed silicon validation environments. You thrive in lab-heavy settings, working directly with advanced instruments and hardware abstraction layers. Your expertise in Python allows you to architect robust automation frameworks and reusable libraries, streamlining complex workflows and ensuring repeatable, high-quality results. You’re comfortable translating intricate MATLAB algorithms into efficient Python code, maintaining numerical equivalence and clear documentation for future maintainability. Your experience integrating C/C++ SDKs, DLLs, and libraries into Python empowers seamless cross-team collaboration with firmware and software teams worldwide. You are meticulous in your approach to code governance, CI/CD pipelines, and release management, ensuring that your code is reliable, maintainable, and well-documented.

You communicate clearly, translating technical requirements into actionable solutions and collaborating across validation, SDK, firmware, and software teams. You are proactive in identifying opportunities for process improvement, championing best practices, and mentoring teammates. Your curiosity drives you to stay current with industry trends, and your adaptability shines in fast-paced environments where innovation and continuous improvement are valued. You are committed to delivering intuitive GUIs and data tools that empower your team to make informed decisions, reduce operator error, and streamline bench operations. With a strong foundation in high-speed SerDes technologies and lab instrumentation, you are ready to make a lasting impact on industry-leading IP and silicon validation processes.

What You’ll Be Doing:

• Defining and maintaining Python automation architecture, folder/repo structure, and coding standards for lab environments.

• Building hardware-abstraction layers for lab instruments (J-BERT, oscilloscopes, pattern generators, power supplies) using VISA/SCPI and vendor APIs.

• Creating reusable libraries for test sequencing, calibration/adaptation flows, results logging, fault handling, and multi-bench resource scheduling.

• Translating MATLAB algorithms and calibration scripts into robust Python (NumPy/SciPy/Pandas), ensuring numerical equivalence and documenting migration notes.

• Developing and hardening drivers/wrappers for Keysight/Teledyne-LeCroy/R&S instruments, including connection management, waveform acquisition, and compliance scripts.

• Integrating SDK C/C++ code, DLLs, and shared libraries into Python via ctypes/cffi/SWIG, collaborating with firmware teams to validate features and APIs.

• Managing code repositories (Git/Perforce), branching strategies, code reviews, release tagging, and CI/CD pipelines for linting, testing, and packaging.

• Building internal GUIs for bench control, run setup, live plots, and progress tracking, as well as data processing pipelines for quick-turn analysis and report generation.

The Impact You Will Have:

• Accelerate SerDes bring-up and characterization through standardized Python automation and instrument libraries, reducing time-to-first-measurement and increasing bench throughput.

• Enhance efficiency and reliability of Silicon Validation processes with robust frameworks, CI-verified packages, and repeatable workflows.

• Improve test quality, reproducibility, and data analysis by shipping versioned tools, enforcing parity on MATLAB to Python conversions, and delivering clear analysis artifacts.

• Contribute directly to the success of high-speed, mixed-signal SerDes IP, enabling faster SDK/FW feature validation and higher confidence in release readiness.

• Support cutting-edge IP solutions that drive industry innovation by turning validation requirements into dependable software and GUIs adopted across benches.

• Streamline communication and day-to-day operations across Validation, FW, SDK, Software via documented interfaces, shared roadmaps, and predictable release notes.

• Increase code reuse and maintainability with a clear repo structure, a reusable hardware-abstraction layer, and shared GUI components that standardize user experience.

• Deliver intuitive, maintainable GUIs for bring-up and mass-char workflows, reducing operator error and enabling telemetry-driven improvements over time.

• Foster a culture of innovation and continuous improvement through mentorship, code reviews, documentation, and knowledge sharing within the validation team.

What You’ll Need:

• 2–6 years professional software engineering experience building automation frameworks or tooling in a hardware or lab environment.

• Strong proficiency in Python (OOP, packaging, virtual environments, logging, multithreading for instrument I/O).

• Experience controlling lab instruments via SCPI/VISA and vendor SDKs/APIs; comfortable with Windows and Linux benches.

• Proven skill integrating native libraries (C/C++ DLL/.so) into Python and debugging across the boundary.

• Solid practice with Git: code reviews, branching strategies, conflict resolution, and release tagging.

• Data skills: NumPy/Pandas, CSV/Parquet, plotting, and producing analysis artifacts usable by the team.

• Clear communicator who can translate validation requirements into robust software and collaborate across SDK, FW, and SW teams.

Who You Are:

• Analytical thinker with strong problem-solving skills.

• Collaborative team player who thrives in cross-functional environments.

• Detail-oriented and organized in both code and documentation.

• Curious and eager to learn new technologies and methodologies.

• Adaptable, proactive, and comfortable with ambiguity and innovation.

• Effective communicator, able to translate complex requirements into actionable solutions.

• Mentor and knowledge sharer, fostering a culture of continuous improvement.

The Team You’ll Be A Part Of:

You’ll join the SerDes Silicon Validation team, a dynamic group of engineers dedicated to enabling high-speed IP innovation through rigorous hardware validation and software automation. The team works closely with worldwide software, firmware, and SDK teams, collaborating to deliver robust tools, frameworks, and GUIs that accelerate bring-up, characterization, and validation workflows. Together, you’ll drive advancements in silicon validation, empower efficient lab operations, and shape the future of high-performance IP solutions.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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