Job's Mission:

As a Software Quality Assurance Engineer at ASM, you will ensure the reliability and effectiveness of our software that drives cutting-edge semiconductor processing equipment. You’ll work on testing and qualifying software, streamlining QA processes to align with CI/CD development, and collaborating with talented global teams. Your contributions will directly impact the functionality and performance of advanced hardware in the semiconductor industry.

What you will be working on:

• Design, develop, test, deploy, maintain, document, and improve software test suites.
• Perform both manual and automated testing in simulation environments and on physical semiconductor manufacturing equipment.
• Execute and analyze the functionality of engineering designs compared to intended outcomes, providing valuable feedback.
• Automate, streamline, and maintain QA processes to integrate seamlessly with CI/CD development workflows.
• Develop and implement quality standards, methods, and procedures to enhance existing business processes.
• Work closely with Process Engineering teams to test systems, validate engineering designs, and identify quality improvements.
• Create and manage tests plans and test cases, ensuring thorough validation of software enhancements and defect fixes.
• Gain an understanding of ASM system operations, including mechanical, electrical, and software functionality.
• Document testing procedures and feedback to ensure quality and consistency across projects.

What we are looking for:

• Bachelor’s + 5 years of experience, Master's +3 years OR PhD + 2 years of experience. Degree in Computer Science, Computer Engineering, or a related field.
• Proficiency in programming languages such as Python, C++, or C#.
• Experience with system quality assurance or engineering for complex electromechanical equipment with integrated software controls.
• Strong written and verbal communication skills for interacting with senior leadership and stakeholders.
• Willingness to travel up to 10% of the time.

What sets you apart

• Familiarity with tools like Jira, Confluence, Git, Test Complete, or TestRail.
• Experience in software configuration management or versioning in a software development environment.
• Knowledge of DevOps and CI/CD pipeline setup.

Senior Engineer I, Software Engineering

As part of ASM’s Software Engineering team, you’ll develop advanced control software that drives the most sophisticated semiconductor equipment in the world. Your work will directly impact robotics, gas flow systems, and temperature control hardware—delivering real-time results in chip manufacturing. Based in Phoenix, you’ll collaborate globally and help shape the future of semiconductor automation and factory integration.

Responsibilities:

• Design, develop, test, deploy, and maintain software for semiconductor manufacturing equipment
• Build software for Windows and real-time operating systems
• Troubleshoot and resolve issues in real-time control systems
• Triage mechanical, electrical, and software bugs
• Lead escalation calls with field engineers and global customers
• Collaborate with QA and Support teams to manage regression testing
• Author and review system specifications, software designs, and test plans
• Investigate internal and external problem reports and propose solutions
• Evaluate and recommend software engineering tools
• Participate in system design and scheduling efforts
• Integrate and support factory automation protocols such as SECS/GEM
• Work closely with automation teams to ensure seamless equipment-factory communication

Requirements:

• BS Degree in Computer Science or related field. MS preferred.
• Strong software development skills in C#
• 5+ years’ experience as a generalist or mid-stack software developer
• Experience in the semiconductor industry
• Hands-on experience with factory automation systems
• Familiarity with SECS/GEM, GEM300, EDA/Interface A protocols
• Experience with AMHS (Automated Material Handling Systems)

What sets you apart

• 10+ years in software development and architecture
• Experience with:
  • Machine control software (especially for semiconductor equipment)
  • Windows and real-time operating systems
  • Multi-threaded and real-time applications
  • GUI development and device drivers
  • Networking, data communications, and EtherCAT
  • Dynamic scheduling algorithms with deadlock avoidance

Senior Engineer I, Software Engineering - Factory Automation 

As part of ASM’s Software Engineering team, you’ll develop advanced control software that drives the most sophisticated semiconductor equipment in the world. Your work will directly impact robotics, gas flow systems, and temperature control hardware—delivering real-time results in chip manufacturing. Based in Phoenix, you’ll collaborate globally and help shape the future of semiconductor automation and factory integration.

Responsibilities:

• Design, develop, test, deploy, and maintain software for semiconductor manufacturing equipment
• Build software for Windows and real-time operating systems
• Troubleshoot and resolve issues in real-time control systems
• Triage mechanical, electrical, and software bugs
• Lead escalation calls with field engineers and global customers
• Collaborate with QA and Support teams to manage regression testing
• Author and review system specifications, software designs, and test plans
• Investigate internal and external problem reports and propose solutions
• Evaluate and recommend software engineering tools
• Participate in system design and scheduling efforts
• Integrate and support factory automation protocols such as SECS/GEM
• Work closely with automation teams to ensure seamless equipment-factory communication

Requirements:

• BS Degree in Computer Science or related field. MS preferred.
• Strong software development skills in C#
• 5+ years’ experience as a generalist or mid-stack software developer
• Experience in the semiconductor industry
• Hands-on experience with factory automation systems
• Familiarity with SECS/GEM, GEM300, EDA/Interface A protocols
• Experience with AMHS (Automated Material Handling Systems)

What sets you apart

• 10+ years in software development and architecture
• Experience with:
  • Machine control software (especially for semiconductor equipment)
  • Windows and real-time operating systems
  • Multi-threaded and real-time applications
  • GUI development and device drivers
  • Networking, data communications, and EtherCAT
  • Dynamic scheduling algorithms with deadlock avoidance

Engineer, Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 4 years experience or MS+ in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

Senior Engineer, Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Senior Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Location

This role requires working from our downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office.

About the Role

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Supervisor Engineer (team lead), Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Supervisor Engineer, Software Support, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Oversee the day-to-day operations of the support team, including task assignment, workload distribution, and monitoring punctuality and backlog management.
• Act as the final point of contact for complex or high-priority customer escalations, ensuring timely and effective resolution.
• Provide coaching and professional development for staff, identifying training needs and creating individualized development plans.
• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Guide your team members to create bug reports for the developer to use when fixing the bug. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Proven ability to motivate, inspire, and foster a collaborative team culture.
• Strong troubleshooting skills in hardware and software, with familiarity data structure, networking, algorithm and modern operating systems (Windows).
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C++, C#, Python, Gitlab\Github.  
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

As a Senior Software Engineer at ASM, you’ll sit at the intersection of cutting-edge software, complex hardware, and real-world customer impact. You’ll be a technical leader who solves the toughest software challenges in semiconductor manufacturing—driving system reliability, safety, and performance for our global customers. In this role, you won’t just fix issues—you’ll lead investigations, influence architecture, and deliver long-term, systemic improvements that power advanced semiconductor technology worldwide.

What You’ll Be Working On

• Lead deep technical investigations into software-related safety interlocks, validating corrective and preventive actions.
• Analyze and optimize multiple interacting subsystems, gaining end-to-end understanding of full platform workflows.
• Drive root cause and corrective action (RCCA) using packet captures, log correlation, and system-level analysis.
• Design and evaluate subsystem architectures, including multi-threading and scheduler interactions.
• Develop, test, deploy, maintain, and continuously improve software for advanced semiconductor manufacturing equipment.
• Troubleshoot complex software issues, including real-time control systems.
• Act as a technical escalation point—supporting field engineers and customers globally.
  Partner with QA and Support to reproduce field issues and strengthen regression coverage.
• Author and review system specifications, software designs, and test plans.
• Investigate internal and external technical inquiries, delivering clear analysis and actionable solutions.
• Evaluate and influence software engineering tools and system design decisions.
• Plan and coordinate rapid software fixes and deployments in high-impact environments.
• Present technical insights, progress, and outcomes in customer QBRs, including findings from complex DOE analyses.

What We’re Looking For

• Bachelor’s degree in Computer Science (or related field) with 7+ years of industry experience, or Master’s degree with 4+ years, or PhD with 3+ years of relevant experience
• Strong software development expertise in C++ and/or C#
• Solid understanding of multi-threaded applications
• Experience working with software documentation, specifications, and APIs
• Good knowledge of software memory architecture and debugging

What Sets You Apart

• Advanced degree (Master’s or PhD) and experience in software architecture and machine control systems, ideally within semiconductor equipment
• Hands-on experience with GUIs, device drivers, and interrupt-driven software
• Knowledge of data communications, networking, and EtherCAT
• Understanding of dynamic scheduling algorithms and deadlock avoidance
• Proficiency with development tools such as debuggers, application builders, and configuration management systems
• Ability to triage and diagnose mechanical, electrical, and software issues holistically
• Strong analytical skills, including designing and interpreting complex DOEs using multivariate methods or PCA

Your Impact

As a key member of our Validation team, you’ll help ensure every product and system meets the highest standards before it reaches our customers. You’ll develop Validation Test Procedures (VTPs), create comprehensive test plans, and collaborate with R&D and other teams to execute testing from start to finish. Your technical expertise will guide product evaluations, uncover issues, and drive resolutions alongside cross-functional partners. In this role, you’ll work closely with Engineering, Manufacturing, Quality Assurance, Project Management, and Supply Chain—making your communication skills just as important as your technical know-how.

What You’ll Do
Location: Onsite at our Deer Valley, Arizona location
Reports to: Manager, Hardware Validation & Reliability Engineering
Direct Reports: none

• Develop comprehensive test plans for our products
• Incorporate Statistical Analysis into Validation Testing
• Review & provide input into System & Product Requirements.
• Test Axon product capabilities & features to confirm requirements are met and ensure a smooth customer experience.
• Understanding troubleshooting firmware/software or hardware issue at a system level.
• Participate in occasional field testing of Axon products
• Work with a team of skilled technicians to ensure timely execution of the test plans
• Provide status updates and recommendations based on data results, and lead final reporting of validation efforts
• Leverage Engineering background to improve tests and processes
• Design and hone Validation Test Procedures with an emphasis on repeatability, standardization, and accuracy of testing
• Lead and oversee execution of all validation tests – including Firmware/Software, Mechanical, Environmental, and Electrical
• Document, track, and report test status and results to Engineering teams, following Good Documentation Practices (GDP).
• Support Failure Analysis (FA) and Root Cause Analysis (RCA) on issues found in test
• Work with external labs to coordinate required testing
• Implement and maintain 5S Standard for lab organization and management
• Develop customer usage models of all products

What You Bring

• MS or BS Degree in Engineering, Mechanical, Electrical, Electromechanical, Reliability or equivalent.
• Minimum of (5 years) of experience with validation or qualification testing
• Mechanical and Environmental test experience
• Test standards experience (MIL-STD, ISO, IEC, etc.)
• Test automation and basic code scripting, experience.
• Willingness to drive department improvement efforts
• Good attention to detail and documentation
• Experience in a regulated environment, a plus
• Experience with identifying, reproducing, documenting, and reporting bugs or issues
• Experience presenting test plan and requirements to stakeholders
• Understanding of Product Development Life Cycle
• Familiar with Project Management skill set, certified PMP a plus
• Familiar with Bug and Test Tracking Suites such as JIRA a plus
• Experience with manufacturing and assembly process
• Excellent analytical and problem-solving skills
• Excellent skills in MS Office products
• Ability to influence multi-functional organizations
• Certification in Six Sigma Black Belt or Green Belt ,a plus

Benefits that Benefit You

•Competitive salary and 401k with employer match
•Discretionary paid time off
•Paid parental leave for all
•Medical, Dental, Vision plans
•Fitness Programs
•Emotional & Mental Wellness support
•Learning & Development programs
•And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location
where you work

As a Senior Software Engineer at ASM, you’ll sit at the intersection of cutting-edge software, complex hardware, and real-world customer impact. You’ll be a technical leader who solves the toughest software challenges in semiconductor manufacturing—driving system reliability, safety, and performance for our global customers. In this role, you won’t just fix issues—you’ll lead investigations, influence architecture, and deliver long-term, systemic improvements that power advanced semiconductor technology worldwide.

What You’ll Be Working On

• Lead deep technical investigations into software-related safety interlocks, validating corrective and preventive actions.
• Analyze and optimize multiple interacting subsystems, gaining end-to-end understanding of full platform workflows.
• Drive root cause and corrective action (RCCA) using packet captures, log correlation, and system-level analysis.
• Design and evaluate subsystem architectures, including multi-threading and scheduler interactions.
• Develop, test, deploy, maintain, and continuously improve software for advanced semiconductor manufacturing equipment.
• Troubleshoot complex software issues, including real-time control systems.
• Act as a technical escalation point—supporting field engineers and customers globally.
  Partner with QA and Support to reproduce field issues and strengthen regression coverage.
• Author and review system specifications, software designs, and test plans.
• Investigate internal and external technical inquiries, delivering clear analysis and actionable solutions.
• Evaluate and influence software engineering tools and system design decisions.
• Plan and coordinate rapid software fixes and deployments in high-impact environments.
• Present technical insights, progress, and outcomes in customer QBRs, including findings from complex DOE analyses.

What We’re Looking For

• Bachelor’s degree in Computer Science (or related field) with 10+ years of industry experience, or Master’s degree with 4+ years, or PhD with 3+ years of relevant experience
• Strong software development expertise in C++ and/or C#
• Experience developing for Windows and real-time operating systems
• Solid understanding of multi-threaded applications
• Experience working with software documentation, specifications, and APIs

What Sets You Apart

• Advanced degree (Master’s or PhD) and experience in software architecture and machine control systems, ideally within semiconductor equipment
• Hands-on experience with GUIs, device drivers, and interrupt-driven software
• Knowledge of data communications, networking, and EtherCAT
• Understanding of dynamic scheduling algorithms and deadlock avoidance
• Proficiency with development tools such as debuggers, application builders, and configuration management systems
• Ability to triage and diagnose mechanical, electrical, and software issues holistically
• Strong analytical skills, including designing and interpreting complex DOEs using multivariate methods or PCA

Role overview

At ASM, the Software Engineering team works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware. Come join our team and have the opportunity to:

• Develop Advance software for cutting edge tech
• See your work have real results by driving the most advanced HW in the SEMI industry
• Work with a global team full of talented Software Engineers
• Solve complex problems using AI/ML/Advanced Algorithms/Data Science
• Be part to the team that leads the next generation of SEMI manufacture control Software technology and trends
• Travel globally and visit major chip makers FAB sites
• Work in Phoenix, the heart of the next SEMI tech hub

Note: This role is intended for candidates who are graduating in Spring 2026 or have graduated within the past two years and have 0–2 years of professional work experience.

Responsibilities

• Design, develop, test, deploy, maintain and improve software for our semiconductor manufacturing equipment
• Developing for Windows and Windows Real-time Operating Systems
• Troubleshoot and resolve computer software issues, including real-time software control systems
• Able to triage mechanical, electrical and software bugs
• Responsible to manage escalation calls with field support engineers and customers at a national and global level
• Work with QA / Support team to add replicated bugs to regression
• Author, revise, and review system specifications, software designs, test plans, and other software documentation.
• Investigate both internal and external inquiries, questions and problem reports. Offer problem analysis, solutions, or alternatives as a result of these investigations.
• Evaluate software engineering tools.
• Participate in system design teams.
• Travel to customer sites to support installations, training, and troubleshooting of ASM products.
• Develop schedules for software development efforts.
• Provide engineering solutions to resolve all software issues
• Evaluating new software and hardware tools for possible department use

Minimum Qualifications

• Strong software development skills in C++ 
• 1+ years’ experience as a generalist or mid-stack software development with a Bachelor's degree OR recently graduated with Masters degree in Computer Science, Computer Engineering or Computer Systems
• Graduating in Fall 2025 or graduated within the past two years
• 0–2 years of professional work experience

Preferred Qualifications

• Strong software development skills in C++ and C#
• Educational background in Computer Science or Computer Systems
• Experience working with multiple items listed below
  • Software for Machine Control (including Semiconductor equipment) 
  • Developing for Windows and Windows Real-time Operating Systems
  • Multi-threaded applications
  • Real-time software
  • Graphical User Interfaces
  • Device drivers or other interrupt driven software preferred
  • Data Communications and Networking
  • Knowledge of programming tools such as text editors, debuggers, application builders and configuration management tools.
  • Ability to read code and understand the functionality implemented and the ability to translate the functionality into another piece of software
  • Comprehend software documentation including specification and design documents, communication interface specific and API description

You are responsible for determining the most effective ways to manufacture quality products or service. Develops ways to increase productivity, maximizes efficiency and process quality. Enable rapid ASM growth without compromising on our products quality and Customers’ satisfaction, driving the quality of our products into a competitive advantage.

In this role you will lead a team to have “end to end” quality assurance of analysing in house Operations and Customers data to set preventive measures on NC.

We are looking for you; self-motivated by nature with a strong ability to define out of the box solutions. Moreover, to perform in-depth analysis and effective proliferation of resolution.

Internal

• Manage Quality Non Conformances – Define caused-by in Intake & filtering
• Manage proper follow-up with Cooperate Quality Team on customer expectations
• Manage timely and good quality closure of NC including preventive actions.
• Setup and maintain Customer Quality Dashboard
• Align with Customers on critical indexes
• Assist local management by proposing process improvements and participate in deployment of new and improved processes
• Assist cooperate functions by initiating, driving and tracking of improvements on the execution of critical processes
• Assist in driving resolution of structural quality issues within corporate programs, e.g. QMS restructuring
• Manage well-structured inspection plans and collaborate with cross functions to improve tests and assembly processes
• Lead and drive quality assurance metrics to targets; including managing contract manufacturers.
• Hands-On guiding the team through 8D methodology to close non-conformances

Requirements

• Demonstrated proven track record to drive problem solving methodology
• Preferably >10 years of experience working in a manufacturing or engineering environment
• Demonstrated ability to influence across organization and drive changes
• Familiar with the following operational excellence tools but not limited to; Lean manufacturing, FMEA, 8D, PDCA, Problem solving, six sigma etc

Professional Experience

• Experience in Capital Equipment building preferably in the Semiconductor industry
• Trained in minimum Green Belt Problem Solving methodology

 Soft Skills

• Exhibits analytical thinking and committed to drive teams to meet business goals
• Strong written, communication, presentation and interpersonal skills
• Self-driven personality & independence

Qualifications

• Degree or equivalent working experience for >15 years

working as part of the Global Quality team, this role will work alongside Business Unit Engineers, Product Support, Field Teams, Supplier Quality, Manufacturing, and other business functions toward the goal of resolving “non-conformance” issues that are encountered by our manufacturing & field teams and determined to be either high customer impact or systemically caused. This role also includes meeting directly with Customers as well as presenting solutions and status to both customers and various levels of ASM management.

Responsibilities:

• Act as Single Point of Contact, on behalf of Global Quality, for given product lines
• Also act as Single Point of Contact for key customer Field Teams on quality concerns
• These responsibilities require building a fundamental understanding of the quality concern identified, determining the best solution path and driving appropriate action
• Drive, within ASM’s Toll Gate process, building in quality for New Product Introductions
• Work with BU personnel to create Critical Part definition, Design FMEAs and score progress in a Design For Quality scorecard
• Drive down Non-Conformances (NCs) for given product lines & customers
• Through NC data analytics, identify trends, systemic issues, repeat issues, their causes and drive team solutions
• Work with other members of the Quality teams and management to roll out efficiency and continuous improvement efforts
• Working with cross-functional teams, institute solutions focused on permanently solving root cause and preventing similar occurrences
• Communicate solutions & experiences with colleagues to solve common issues existing across multiple products

Qualification:

• Bachelor’s degree, Master’s preferred, in Mechanical, Electrical or Material Science Eng;  PhD is a plus
• 7-10 years of experience in semiconductor, or similar technical industry, in engineering role with a strong focus on quality
• Experience with Structured Problem Solving (e.g. 8D, C4, A3 etc.) and FMEA
• Experience with Project Management
• Experience with Quality Management Systems, Quality Assurance and Process Control; part fabrication experience is a plus
• Six Sigma Green Belt; Black Belt is a plus
• Ability to build organizational awareness and collaborate in a global setting is required
• Ability to influence, persuade, and position the value-building quality within products
• Strong analytical skills with the ability to use logic and data to make factual assessments
• Ability to drive or oversee issues to full resolution