Role Description CTG is seeking an experienced LVS/DRC Engineer to develop and maintain high-quality physical verification rule decks for a leading client. This role requires an engineer who can make an immediate impact through demonstrated expertise in Synopsys IC Validator (ICV) DRC coding and the development of QA regression suites. Location: Remote Duration: 12 months Shift: Monday- Friday Key Responsibilities: - Develop and maintain LVS/DRC rule decks using Synopsys IC Validator. - Create and execute QA regression suites to validate rule deck quality. - Automate verification processes using Python, SKILL, PxL, and SVRF. - Support physical verification flows utilizing Calibre, Virtuoso, and KLayout. - Collaborate with engineering teams to resolve verification issues and improve design quality. Qualifications - 5+ years of semiconductor physical verification experience. - Strong hands-on experience with Synopsys IC Validator (ICV DRC). - Expertise in QA regression suite development. - Experience with Calibre, Cadence Virtuoso, and KLayout. - Proficiency in PxL, SVRF, Python, and SKILL. - Strong EDA automation and scripting skills. Requirements - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. - Equivalent combination of education and relevant experience will also be considered. - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. Benefits - The expected base salary for this position ranges from $65.00 to $75.00/hour. - Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. - In addition to salary, a competitive benefit package is also offered. To Apply To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

Role Description We're looking for a senior software engineer to build and own the production systems and shared frameworks behind our modeling platform. You'll work primarily in Python and Rust to keep our real-time products fast, reliable, and scalable. This is a remote position. This is a software engineering role, not a data science role — you'll partner closely with data scientists and own the systems their models run on. We're looking for engineering depth, not modeling. Duties - Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products. - Own the deployment and operation of your own services on Kubernetes within a larger platform — this is service ownership within a shared ecosystem, not cluster administration or a DevOps function. - Proactively improve and extend our Rust codebase. - Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase. - Set up and maintain alerting, monitoring, and observability for the services you own. - Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams. - Apply large-scale data processing techniques to build scalable, innovative sports betting products. - Examine and improve the integration and scaling of our real-time operations, simulations, and experiments. - Develop solutions for open-ended problems where information is incomplete and no precedent exists. Qualifications - Bachelor's degree in Computer Science or a related technical field. - 5–7 years building and shipping production software, with a strong backend / distributed systems focus. - Advanced Python experience (Rust experience strongly preferred). - Comfortable owning your own services in a Kubernetes environment. - Experience setting up alerting and monitoring systems. - Experience with Kafka (or a comparable streaming / event platform). - Proficiency with SQL. - Experience with source control (GitHub) and related CI/CD processes. - Experience working in AWS environments. - Track record of technical leadership and partnering across teams on complex, ambiguous problems. - Strong communication skills with both technical and non-technical audiences. Requirements - Base salary: Starting at $170,000 - DOE. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

JOB DESCRIPTION - Independently determines project scope, develops a preliminary plan of investigation, and determines project specifications such as cost, time, and sample requirements by analyzing client input, available supplemental data, and product construction. - Projects may include frequent travel to conduct or witness tests at client sites. - Initiates communication with clients to promote and explain the benefits of new and existing services. - Follows up on contacts from clients. - Communicates with clients to discuss technical issues, explain UL procedures and requirements, convey project cost, and negotiate completion date and sample requirements. - Acts to address client concerns and to resolve client issues. - Provides technical assistance to clients in reference to product inspection and follow-up services. - Establishes appropriate test programs by reviewing files and manufacturer's information, examining samples, and applying UL requirements. - Notifies client of any areas in which the product is not in compliance with UL requirements or of any changes in project scope or specifications. - Coordinates laboratory activities by preparing data sheets and instructions to technicians, scheduling and reviewing work of Laboratory Technicians and support staff and establishing completion dates. - Coordinates administrative aspects of project management. - Serves as Project Handler of record and may sign as Reviewer of record as assigned. - Communicates project status and results to clients through frequent contact and by preparing reports. - Prepares Follow-Up Service Procedures and information pages. - Integrates continuous improvement concepts and techniques into all aspects of the job. - Resolves engineering issues associated with Variation Notices by analyzing and reporting on the acceptability of the variations. - Proposes development of new and/or revised UL requirements. - Develops special test methods and test equipment. - Coordinates and/or performs File Reviews. - May represent UL at industry related functions such as seminars and trade shows. - May provide direction as a Primary Designated Engineer or Designated Engineer for specific product categories. - May directs and review work of assigned staff. - May train office, field, and/or laboratory staff and entry-level engineers. - Provides technical assistance to laboratory and/or field staff. - Read and follow the Underwriters Laboratories Code of Conduct and follow all physical and digital security practices. - Performs other duties as directed. QUALIFICATIONS - University Degree in Engineering, Engineering Technology, Industrial Technology, Manufacturing Technology, or Physics from an accredited program plus four years directly related work experience. - Detailed knowledge of the technical vocabulary common to the appropriate discipline. - Working knowledge of conformity standards in use in area of expertise. - Demonstrated ability to apply project-handling concepts in use in area of expertise.

JOB DESCRIPTION The Lead R&D Engineer is responsible for initiating, designing, and executing advanced, applied research programs in material science and safety engineering that directly support UL Solutions' corporate strategy, new service development, and standards leadership. This role requires deep technical expertise, strong research leadership, and the ability to translate scientific knowledge into scalable methods, tools, and services for internal and external stakeholders. The position serves as a technical authority within the R&D team, contributing to ULS' scientific reputation through publications and collaboration with industry partners and academic institutions, while mentoring junior researchers and influencing cross-functional teams. RESPONSIBILITIES - Lead complex applied R&D projects, applying advanced engineering and scientific expertise to develop, evaluate, and refine innovative methods, tools, and solutions. - Independently plan, design, and execute experimental and validation programs with limited oversight, exercising sound technical judgment. - Serve as a go-to technical resource, guiding problem solving and analysis for complex or non-routine engineering challenges. - Collaborate closely with internal R&D teams, COU, and technical leadership to align research outcomes with business, service, and standards needs. - Stay current with emerging technologies and industry trends; contribute to technical publications, presentations, and knowledge sharing. - Build and maintain effective technical relationships with industry, academic, and professional communities. - Communicate complex technical concepts clearly and influence stakeholders to drive understanding, alignment, and adoption of solutions. - Provide informal technical leadership and mentoring, supporting capability development within the R&D team. QUALIFICATIONS - Degree or diploma from an accredited university through a formal program of study in Engineering or relevant Engineering Discipline (such as Chemistry, Material Science, Mechanical Engineering, or Physics but not limited to these disciplines only). - PhD Preferred; requires MS with 3+ years relevant work experience or BS and 8+ years relevant work experience. - Strong knowledge or extensive experience in materials research or product development, particularly in engineering plastics, composite materials, insulating materials, or environmentally friendly materials. - Ability to apply material science principles to product safety and reliability studies, such as thermal aging, environmental stress, electrical endurance, and mechanical fatigue. - Strong insight into emerging technology trends-such as materials science advancements, AI/ML applications, electronic safety, and HV/EV charging technologies. - Able to clearly articulate complex material behaviors and reliability mechanisms to both technical and non-technical senior stakeholders.