• Work within the Verification Team • Ensure correctness and functionality of complex digital designs at the Register Transfer Level according to specifications • Use advanced verification methodologies and tools to validate designs

• Verify complex digital designs at RTL level according to architecture and design specifications. • Develop and maintain verification environments using SystemVerilog and UVM. • Create, execute, and debug test plans for block-level, subsystem-level, and top-level verification. • Work on the verification of coherent systems, including cache-related functionality and interconnect behavior. • Validate designs involving CHI protocol, cache structures, coherency mechanisms, and system-level interactions. • Run and manage simulations, regressions, and debug failures using industry-standard verification tools. • Apply both formal and dynamic verification methodologies to identify design issues early. • Use scripting languages such as Python, Perl, Bash, or TCL to automate verification flows and regression processes. • Collaborate closely with architecture, design, and verification teams to analyze specifications, clarify requirements, and resolve issues. • Track, document, and communicate verification progress, bugs, coverage status, and technical risks. • Contribute to continuous improvement of verification methodology, tools, and best practices.

Role Description Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. Job Responsibilities - Embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. - Play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. - Leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. - Translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. - Own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. - Champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. - Navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. - Stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation. - Foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing. - Measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. Qualifications - Experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs. - Ability to design and execute cross-functional requirements based on business priorities. - Experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python. - Experience with distributed systems and scalable architectures to handle large-scale ML applications. - Experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. - Experience with application of MLOps principles and CI/CD to ML. - Experience in machine learning engineering and data science, familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. - Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. - Hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services. Professional Skills - Understanding of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust. - Resilience in ambiguous situations and ability to adapt your role to approach challenges from multiple perspectives. - Willingness to take on risks or conflicts and manage them skillfully. - Eagerness to coach, mentor and motivate others, aspiring to influence teammates to take positive action and accountability for their work. - Enjoyment in influencing others and advocating for technical excellence while being open to change when needed. - Proven leadership with a track record of encouraging teammates in their professional development and relationships. - Natural ability to cultivate strong partnerships and understand the importance of relationship building for new opportunities. Benefits - Learning & Development: Career development supported by interactive tools, numerous development programs, and teammates who want to help you grow. - Responsible Use of AI in Recruitment: AI tools are used to support recruitment with administrative tasks, ensuring fairness and responsible AI. - Accommodations: Commitment to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs. - Cancellations: Awareness that project scope or availability may shift or be cancelled during the recruitment and selection process. Salary $156,000 — $251,000 CAD

Role Description We are seeking a highly skilled Tooling and Die Design Engineer with 3 to 5 years of experience specialized in aluminum and magnesium high-pressure die casting (HPDC). This role bridges advanced simulation engineering with high-stakes customer collaboration. The ideal candidate will possess advanced capabilities in 3D flow and solidification modeling alongside outstanding communication and interpersonal skills. You will frequently work closely with client engineering teams—including on-site collaboration at their facilities—to optimize part designs for manufacturing and lead tooling development from concept to production launch. Core Responsibilities - Tooling Design & Simulation Engineering - Advanced Simulation: Utilize MAGMA5, FLOW-3D, or equivalent liquid flow modeling tools to perform comprehensive 3D flow, thermal, and solidification simulations. - Die & Gating Design: Design and optimize complete die casting tooling layouts, including gating systems, runners, overflows, venting, and thermal management (cooling/heating) channels. - Design for Manufacturing (DFM): Lead detailed DFM reviews, translating simulation results into concrete engineering recommendations for wall thicknesses, draft angles, fillets, and parting lines. - Troubleshooting & Optimization: Analyze production tooling wear or casting defects and engineer permanent design modifications to improve die life and quality yields. - OEM Customer Interface & Collaboration - On-Site Technical Liaison: Embed with OEM customer engineering teams at their sites during early development phases to provide face-to-face technical support and build strong, trusting partnerships. - Cross-Functional Communication: Translate complex fluid dynamics and metallurgical data into clear, actionable design feedback for both highly technical internal teams and external client stakeholders. - NPI Support: Actively participate in prototype builds and early New Product Introduction (NPI) phases to ensure client expectations align perfectly with production realities. - Documentation: Develop and maintain rigorous documentation for design changes, simulation logs, control plans, and customer design sign-offs. Qualifications - 3 to 5 years of dedicated experience in tooling design and simulation engineering specifically for aluminum and/or magnesium high-pressure die casting. - Bachelor's degree in Mechanical Engineering, Metallurgical Engineering, Materials Science, or a related engineering discipline. - Proven proficiency running advanced 3D liquid flow and solidification modeling software (e.g., MAGMA, FLOW-3D). - Strong hands-on experience with 3D CAD design software (such as NX, Catia, or Creo). - 3 to 5 years of hands-on experience working directly in the HPDC industry or within an Automotive OEM's product development team (preferred). - Excellent verbal and written communication skills in English, with the polished presence necessary to represent PSW Group directly on-site at major OEM facilities (preferred). - Excellent organizational skills, attention to detail, and the flexibility to balance shifting customer requirements with internal production capabilities (preferred). - 30% domestic traveling and occasionally international travels (preferred). Requirements - 3 to 5 years of experience in tooling design and simulation engineering. - Bachelor's degree in a relevant engineering discipline. - Proficiency in advanced simulation software. - Experience with 3D CAD design software. Benefits - Competitive salary. - Discretionary bonus. - 401k plan with company match. - Medical, dental, and vision coverage. - Life and disability insurance. - Other types of group and individual coverages.