{"id":3038522,"url":"https://alion.io/job/synopsys-rd-engineering-staff-engineer-19424","title":"R&D Engineering, Staff Engineer - 19424","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":100,"open_postings":74,"ghost_share":0.041,"stale_share":0,"repost_share":0.189,"time_to_fill_p50_days":15,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":["Ottawa, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":72},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-21T22:04:35Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T05:37:26Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description and Requirements\nWe Are\nSynopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.\nYou Are\nYou have spent years building and scaling the infrastructure that makes complex engineering work possible, and you understand that the best platform is the one engineers do not have to think about. It just works, scales when it needs to, and gets out of the way. You know the difference between automation that saves five minutes and automation that changes how a team operates, and you have built both.\nYou are comfortable sitting with an IP designer who is stuck on a Monte Carlo run that should have finished yesterday, diagnosing what broke, and walking out with a plan to prevent it from happening to the next hundred engineers. You do not wait for perfect requirements. You talk to the people doing the work, figure out where the friction is, and build something that actually helps.\nYou have started paying attention to AI and LLMs, not because they are trendy, but because you see where they could actually make simulation setup less painful or debugging faster. You are curious enough to experiment and pragmatic enough to know when a script is still the right answer.\nAt Synopsys, you will work on simulation platforms that support thousands of IP designers worldwide. The problems are real, the scale is significant, and what you build will directly affect how teams ship.\nWhat You'll Be Doing\nBuild and enhance the analog/mixed-signal simulation infrastructure that supports IP design teams across the company, focusing on scalability, reliability, and usability\nDesign and implement AI-assisted automation for simulation setup, debugging, and workflow optimization, translating emerging technologies into practical engineering tools\nImprove distributed and cloud-based simulation environments to increase resource utilization and reduce time-to-results for large-scale workloads\nEnable production sign-off flows including Monte Carlo, reliability analysis, and post-layout simulation methodologies that teams depend on for tapeout\nWork directly with design teams to understand their challenges, translate requirements into platform capabilities, and deliver solutions that remove friction from their workflows\nPartner with EDA vendors and internal tool developers to drive new features, evaluate technologies, and integrate enhancements into the platform\nSupport engineers through documentation, training, consultation, and best-practice guidance that helps them get more out of the tools\nThe Impact You Will Have\nThousands of IP designers worldwide will use the simulation infrastructure you build, and the improvements you make will compound across every project they touch\nEngineers will spend less time fighting tooling and more time designing because you removed the friction points that slow them down\nSign-off flows will run more reliably and finish faster, directly affecting tapeout schedules and product delivery timelines\nAI-driven automation you implement will change how teams approach simulation setup and debugging, setting the foundation for next-generation workflows\nCloud and distributed simulation improvements you deliver will unlock capacity that was previously bottlenecked, enabling teams to run more experiments and iterate faster\nYour collaboration with EDA vendors will shape the features and capabilities that become available to the entire organization\nThe platform strategy and roadmap you help define will guide simulation infrastructure investments across global engineering teams\nWhat You'll Need\nBachelor's degree with 7-8+ years of experience, Master's with 5-6+ years, or PhD with 3-4+ years in Electrical Engineering, Computer Engineering, Computer Science, or related field\nStrong background in CAD, design automation, simulation infrastructure, or analog/mixed-signal design and verification\nHands-on experience with circuit simulation environments, custom design flows, and testbench automation in production settings\nProficiency in Python, Tcl, Shell, or similar scripting languages for building automation and workflow tools\nExperience working in Linux-based development and compute environments\nKnowledge of Synopsys EDA design suite is highly preferred\nExperience with AI technologies, LLMs, agent-based systems, or machine learning applications for engineering productivity is a strong plus, as is experience with distributed computing, cloud-based workloads, or large-scale engineering infrastructure\nWho You Are\nYou can walk into a room where a simulation flow is broken, ask three questions, and know where to start looking\nYou think about the engineer who will use what you build at 2am before a deadline, and you design for that moment\nYou are comfortable saying \"this AI approach is not ready yet, let's solve it with a better script\" when that is the right call\nYou work well across time zones and disciplines, translating between what a designer needs and what the platform can deliver without losing either side of the conversation\nYou are the kind of engineer who sees a recurring support ticket and thinks \"I should automate this\" instead of just answering it again\nYou stay current on new technologies and tools because you are genuinely curious, not because someone told you to, and you know how to evaluate what is worth adopting\nThe Team You'll Be Part Of\nYou will join the Simulation Platforms team within Central CAD / Design Enablement. The team develops and supports the simulation infrastructure that enables semiconductor IP development across the company. Working closely with engineers and tool-development partners around the world, you will help drive next-generation simulation technologies, platform scalability, and AI-enabled engineering workflows. You will be onsite in Ottawa, ON.\nRewards and Benefits\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.\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. Should you require an accommodation, please contact .","description_format":"text","description_chars":6764,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["EDA Software","Simulation & Digital Twin Software","Semiconductor IP & Chip Design Services"],"lifecycle":[{"event":"open","at":"2026-10-21T22:04:35Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.873,"p_room":0.9,"age_days":5,"expected_fill_days":15,"reasons":["conf:0","velocity","win:mid","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/synopsys-rd-engineering-staff-engineer-19424","json_url":"https://alion.io/job/synopsys-rd-engineering-staff-engineer-19424.json","meta":{"generated_at":"2026-10-27T05:59:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5939,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":39954},"rest":"https://alion.io/mcp/rest/get_company?id=39954"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynopsys-rd-engineering-staff-engineer-19424"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsynopsys-rd-engineering-staff-engineer-19424"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsynopsys-rd-engineering-staff-engineer-19424"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/synopsys-rd-engineering-staff-engineer-19424\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynopsys-rd-engineering-staff-engineer-19424"}]}