{"id":695420,"url":"https://alion.io/job/synopsys-ai-sr-staff-engineer-17046","title":"AI, Sr Staff Engineer - 17046","company":{"id":39954,"name":"Synopsys","domain":"synopsys.com","url":"https://alion.io/company/synopsys-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":99,"open_postings":76,"ghost_share":0.053,"stale_share":0,"repost_share":0.211,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-11T01:53:52Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-29T23:11:29Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Job Description and Requirements\nWe Are:\nAt 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.\nYou Are:\nYou are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the ability to architect, build, and maintain distributed systems and AI/ML solutions. Your experience spans backend and frontend development, and you are comfortable leading technical decisions, mentoring junior engineers, and collaborating with cross-functional teams. You believe in the power of generative AI to transform industries, and you stay ahead of the curve on emerging technologies. Your problem-solving skills are matched by your commitment to quality and scalability, and you foster a culture of learning and innovation wherever you go. You are driven by impact, eager to contribute to strategic projects, and motivated to help shape the future of AI at Synopsys. You value diversity, inclusion, and teamwork, and you bring both technical excellence and leadership to every project you undertake. You are ready to take on complex challenges and help Synopsys push the boundaries of what's possible in AI and software engineering.\nWhat You’ll Be Doing:\nLeading the design and development of distributed systems, APIs, microservices, and cloud-native AI/ML solutions.\nDriving architectural decisions to ensure scalability, reliability, security, and performance across platforms.\nProviding technical leadership on multiple projects and influencing engineering strategy.\nHands-on coding across backend and frontend systems using modern frameworks and technologies.\nMentoring junior engineers through code reviews, architecture reviews, design discussions, and technical problem-solving.\nApplying the latest advancements in AI and ML to enhance existing systems and develop innovative new solutions.\nFostering a collaborative engineering culture focused on learning, quality, and innovation.\nThe Impact You Will Have:\nAccelerate Synopsys’ adoption of Generative AI technologies across products and platforms.\nShape the engineering strategy and best practices for AI/ML integration company-wide.\nEnable scalable, reliable, and secure AI solutions that power industry-leading products.\nMentor and upskill junior engineers, strengthening the overall technical expertise of the team.\nDrive cross-functional collaborations that unlock new capabilities and opportunities.\nHelp establish Synopsys as a leader in advanced AI/ML engineering and innovation.\nWhat You’ll Need:\nAdvanced proficiency in Python programming for both backend and full stack development.\nExperience with cloud platforms such as AWS, GCP, and Azure, including containerization with Docker and Kubernetes.\nWorking knowledge of Generative AI, LLM-powered applications, and machine learning frameworks.\nStrong understanding of distributed systems, microservices architecture, and API design.\nAbility to lead architectural decisions and provide technical guidance across projects.\nWho You Are:\nExcellent problem-solving and analytical abilities.\nStrong communication and interpersonal skills for effective collaboration.\nAbility to work both independently and as part of a diverse team.\nDemonstrated leadership and mentorship capabilities.\nAdaptable, proactive, and committed to continuous learning and innovation.\nThe Team You’ll Be A Part Of:\nYou will join Synopsys’ Generative AI Centre of Excellence-a dynamic team at the forefront of establishing technology strategies and foundational platforms to advance Generative AI across the company. The team collaborates closely with business groups and corporate functions, pushing the AI roadmap forward and delivering innovative solutions that enhance Synopsys’ products and services. You will work alongside talented engineers, data scientists, and AI experts committed to driving excellence and shaping the future of AI technologies.\nSynopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. 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