{"schemaVersion":"jobsearcher.job.v1","id":"fd70e2b4e27fdcb824b8dae3","url":"https://jobsearcher.com/jobs/fd70e2b4e27fdcb824b8dae3","canonicalUrl":"https://jobsearcher.com/jobs/fd70e2b4e27fdcb824b8dae3","title":"Senior Software Engineering Manager","description":"Senior Software Engineering Manager at Rigetti Computing, Berkeley, CA or Fremont, CA. A senior-level full time position in the Internal Software Engineering team, listed under software engineering.\r\nResponsibilitiesLead and mentor a cross-functional software engineering team spanning scientific tooling, analytics infrastructure, and fabrication-support systems.\r\nCreate stronger operational rigor around prioritization, execution, accountability, and project delivery.\r\nProvide coaching, growth support, feedback, and career development for engineers across varying levels of seniority.\r\nHelp establish healthy engineering culture, team norms, and stronger collaboration practices.\r\nServe as a day-to-day thought partner to the VP of Software Engineering while helping create additional leadership bandwidth across the organization.\r\nParticipate in hiring and team scaling efforts as the organization grows.\r\nPartner closely with engineers to drive execution across scientific computing, fabrication tooling, analytics systems, and workflow automation.\r\nSupport development of internal tooling and data systems that connect design, fabrication, and device performance workflows.\r\nHelp modernize and operationalize internal tooling that has historically evolved organically through research and prototyping efforts.\r\nDrive better long-term ownership, maintainability, and lifecycle planning for internally developed systems and infrastructure.\r\nRequirementsBS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or related field; MS or PhD a plus.\r\n7+ years of software engineering experience, including 2+ years in a people leadership role, whether formal management or equivalent tech lead capacity\r\nDemonstrated experience building data systems, ideally in scientific computing or physics-informed models.\r\nDemonstrated experience with software systems managing large datasets, metadata, and scalable data pipelines.\r\nExperience with streaming architectures and tools (e.g., Kafka, Kinesis, Spark Streaming).\r\nProficiency in Python; familiarity with JavaScript or TypeScript. Comfort in a scientific computing environment is strongly valued.\r\nProficiency with AWS for development and production deployment and distributed computing.\r\nPeople leadership ability, including coaching, performance management, and building team culture, whether formal management experience or demonstrated informal leadership.\r\nStrong communication and stakeholder management skills; ability to represent the team's capacity and push back constructively on internal customer requests.\r\nHands-on technical ability; should be capable of making code contributions on an as-needed basis, even if day-to-day focus is leadership.\r\nNice to HaveKnowledge of quantum device physics, such as superconducting qubits, trapped ions, photonics, or quantum information science.\r\nKnowledge of quantum control systems and low-level hardware/software interfaces, including cryogenic hardware, RF electronics, and qubit calibration.\r\nFamiliarity with fabrication processes in semiconductor, quantum, or other hardware/lab-based environments.\r\nFamiliarity with EDA tools, process design kits (PDKs), and chip layout software such as KLayout or Cadence.\r\nExperience with scientific computing platforms, simulation tools, and scientific computing libraries/tools such as NumPy, SciPy, PyTorch, etc.\r\nExperience applying machine learning to scientific, operational, or hardware systems for prediction, optimization, or anomaly detection.\r\nExperience with compiled languages such as Go or Rust.#J-18808-Ljbffr","company":"Entangled Future","rawCompany":"entangled future","city":"Berkeley","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T02:55:05.834Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineering Manager","description":"Senior Software Engineering Manager at Rigetti Computing, Berkeley, CA or Fremont, CA. A senior-level full time position in the Internal Software Engineering team, listed under software engineering.\r\nResponsibilitiesLead and mentor a cross-functional software engineering team spanning scientific tooling, analytics infrastructure, and fabrication-support systems.\r\nCreate stronger operational rigor around prioritization, execution, accountability, and project delivery.\r\nProvide coaching, growth support, feedback, and career development for engineers across varying levels of seniority.\r\nHelp establish healthy engineering culture, team norms, and stronger collaboration practices.\r\nServe as a day-to-day thought partner to the VP of Software Engineering while helping create additional leadership bandwidth across the organization.\r\nParticipate in hiring and team scaling efforts as the organization grows.\r\nPartner closely with engineers to drive execution across scientific computing, fabrication tooling, analytics systems, and workflow automation.\r\nSupport development of internal tooling and data systems that connect design, fabrication, and device performance workflows.\r\nHelp modernize and operationalize internal tooling that has historically evolved organically through research and prototyping efforts.\r\nDrive better long-term ownership, maintainability, and lifecycle planning for internally developed systems and infrastructure.\r\nRequirementsBS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or related field; MS or PhD a plus.\r\n7+ years of software engineering experience, including 2+ years in a people leadership role, whether formal management or equivalent tech lead capacity\r\nDemonstrated experience building data systems, ideally in scientific computing or physics-informed models.\r\nDemonstrated experience with software systems managing large datasets, metadata, and scalable data pipelines.\r\nExperience with streaming architectures and tools (e.g., Kafka, Kinesis, Spark Streaming).\r\nProficiency in Python; familiarity with JavaScript or TypeScript. Comfort in a scientific computing environment is strongly valued.\r\nProficiency with AWS for development and production deployment and distributed computing.\r\nPeople leadership ability, including coaching, performance management, and building team culture, whether formal management experience or demonstrated informal leadership.\r\nStrong communication and stakeholder management skills; ability to represent the team's capacity and push back constructively on internal customer requests.\r\nHands-on technical ability; should be capable of making code contributions on an as-needed basis, even if day-to-day focus is leadership.\r\nNice to HaveKnowledge of quantum device physics, such as superconducting qubits, trapped ions, photonics, or quantum information science.\r\nKnowledge of quantum control systems and low-level hardware/software interfaces, including cryogenic hardware, RF electronics, and qubit calibration.\r\nFamiliarity with fabrication processes in semiconductor, quantum, or other hardware/lab-based environments.\r\nFamiliarity with EDA tools, process design kits (PDKs), and chip layout software such as KLayout or Cadence.\r\nExperience with scientific computing platforms, simulation tools, and scientific computing libraries/tools such as NumPy, SciPy, PyTorch, etc.\r\nExperience applying machine learning to scientific, operational, or hardware systems for prediction, optimization, or anomaly detection.\r\nExperience with compiled languages such as Go or Rust.#J-18808-Ljbffr","datePosted":"2026-11-04T02:55:05.834Z","dateModified":"2026-11-04T02:55:05.834Z","hiringOrganization":{"@type":"Organization","name":"Entangled Future","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fd70e2b4e27fdcb824b8dae3"},"url":"https://jobsearcher.com/jobs/fd70e2b4e27fdcb824b8dae3"}}