• Analyzing deep learning networks and developing compiler optimization algorithms • Collaborating with members of the deep learning software framework teams and the hardware architecture teams • Defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks

• Lead commissioning of ABB GIS and RMU systems in accordance with ABB standards, customer specifications, and applicable IEEE / IEC / ANSI requirements. • Create commissioning work plans, cost estimates, schedules, risk assessments, and Methods of Procedure (MOPs). • Support execution and manage commissioning activities through energization and customer acceptance. • Support Factory Acceptance Testing (FAT) and Integrated FAT (IFAT). • Interface with customers, EPCs, utilities, and internal ABB teams. • Identify commissioning risks and lead mitigation actions. • Support contract managers with technical input related to scope and claims. • Perform site visits to support commissioning teams. • Mentor and develop junior engineers.

• Leads technical direction, approves designs, solves complex engineering challenges, and ensures safety, cybersecurity, and quality compliance while driving advanced concepts and design priorities. • Partners with customers to shape solutions, resolves technical issues, supports proposals, and ensures design principles and project deliverables meet contractual and performance requirements. • Coaches engineers, conducts peer reviews, applies design thinking, drives standards and tool improvements, and promotes best practices through workshops and verification activities. • Manages planning, cost estimates, supply chain evaluations, manufacturing/testing coordination, and commissioning support, ensuring accurate deliverables, risk management, and contract adherence.

Role Description The Software QA Engineer will support the end-to-end quality of our SaaS platform at multiple levels, including: - Designing and implementing tests - Using and maintaining automation scripts - Debugging and defining corrective actions This role is ideal for someone who brings strong QA fundamentals within an Agile CI/CD environment but also possesses the technical depth to validate backend logic, databases, and API behavior. You will collaborate closely with Engineering, Product, and DevOps teams to ensure our releases are reliable, performant, and thoroughly tested at every layer of the stack. A day in the life includes: - Developing, executing, and maintaining manual and automated test plans, test cases, and test scripts - Performing backend data validation, including SQL-based testing of complex datasets, stored procedures, and ETL workflows - Building and executing API-level test suites (e.g., Python-based or Postman-based frameworks) - Using load and performance testing tools (e.g., JMeter) to benchmark system stability, throughput, and scalability - Creating and maintaining UI automation scripts, preferably using Cypress or similar frameworks - Contributing to continuous testing within a CI/CD pipeline, collaborating with DevOps to integrate automated tests into release workflows - Analyzing test results, documenting defects, and working with developers to ensure resolutions align with quality standards - Participating in Agile ceremonies, providing actionable QA insights and ensuring quality remains central to story development, sizing, sprint planning, and execution - Completing manual testing and contributing to automated UI tests (Cypress) to maximize testing coverage and effectiveness for assigned modules - Acting as the primary quality control point for each production release - Monitoring and reporting on overall quality performance and trends for both pre-release and production defects Qualifications - Bachelor’s degree in software engineering or related field - 3-5 years professional experience with software QA testing and engineering - Strong proficiency in SQL, especially PostgreSQL, including the ability to write complex queries for validation and investigation - Professional experience with Python for scripting, automation, or data validation tasks - Hands-on experience with load/performance testing tools such as JMeter - Solid understanding of QA fundamentals within a SaaS environment, including functional testing, regression, smoke testing, and defect lifecycle management - Familiarity with CI/CD processes, building pipelines, and continuous testing practices - Experience using UI automation frameworks, preferably Cypress, Selenium, or Playwright - Excellent verbal and written communication skills - Proficiency in Agile/Scrum methodology and one or more common platform used for backlog management (Jira, Azure DevOps Boards, etc.) Preferred Qualifications - Experience in US healthcare revenue cycle management processes and common data records Requirements - Ability to work cross-functionally in a fast-paced, deadline-driven environment - Comfortable managing remote meetings, workshops, and training with diverse client teams - Occasional travel for onsite client engagements or major project milestones (if applicable) - Commitment to continuous learning and process enhancement Benefits - Competitive compensation - Comprehensive benefit package, including medical, dental, vision, disability, and life insurance - Matching 401k plan and FSA options - Generous Paid Time Off (PTO) and 10 company-observed holidays - Cohesive and engaging remote work culture allowing a healthy work-life balance Company Description Encoda is a provider of financial health management SaaS solutions purpose-built to help physician practices overcome the revenue cycle challenges that quietly erode revenue. By unifying data across practice management systems, clearinghouses, and payers, we deliver Actionable Revenue Transparency: the real-time visibility, control, and automation practices need to protect and grow their financial health. When you join Encoda, you’re helping transform complex reimbursement workflows into clear, repeatable processes—so practices can capture the full value of their services, strengthen cash flow, and devote more time to what matters most: patient care.