Formal jobs

Sr. Formal Verification Engineer, Annapurna Labs Cupertino, California, USA Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative

Senior Firmware Verification Engineer (Formal Methods) (m/f/d) Gratkorn posted: Posted 30+ Days Ago

Formal Verification Engineer, Annapurna Labs Cupertino, California, USA Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Responsibilities: - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and

ASIC Formal Verification Engineer, Google Cloud Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML- driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable

ASIC Formal Verification Engineer, TPU Compute Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an ASIC Formal Verification Engineer, you'll contribute formal verification expertise to verify complex digital designs with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to

Software Formal Qualitative Testing (FQT) Engineer II US-MA-TEWKSBURY-TB3 ~ 50 Apple Hill Dr ~ CONCORD BLDG, Tewksbury Tb3 300 Concord posted: Posted 30+ Days Ago

Research Software Engineer, Formal Methods (Hybrid) 3 Locations posted: Posted 30+ Days Ago

Sr. Applied Scientist, Cedar Authorization FIN Are you passionate about authorization, programming languages, applying formal verification, program analysis, constraint-solving, and/or theorem proving to real-world problems? Do you want to shape the future of an open-source authorization language that is becoming an industry standard? If so, then we have an exciting opportunity for you. Cedar is an open-source policy language and evaluation engine for authorization that is used across AWS services including Amazon Verified Permissions, AWS Systems Manager, and more. Cedar recently joined the Cloud Native Computing Foundation (CNCF) as a Sandbox project, and we are looking for an Applied Scientist to help advance Cedar's adoption, maturity, and community presence across the cloud-native ecosystem. In this role, you will drive the science and engineering behind Cedar's integration into cloud-native platforms such as Kubernetes, advance Cedar's formal verification and analysis capabilities, and serve as a technical leader and advocate within the CNCF community. You will interact with internal teams and external open-source communities to understand their authorization requirements, propose innovative solutions, create software prototypes, and productize prototypes into production systems. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. Key job responsibilities Technical Responsibilities - Drive the design and development of Cedar's integration into cloud-native authorization environments, including Kubernetes and other CNCF ecosystem projects. - Advance Cedar's formal verification, SMT-based analysis, and policy validation capabilities to raise the bar for authorization assurance. - Interact with various teams to develop an understanding of their security,

Quality Auditor, Footwear Haiphong, VNM (Vietnam Corporate Office) posted: Posted 30+ Days Ago

Anlagenbetreuer (m/w/*) DE, Kempten posted: Posted 3 Days Ago

Professional Quality (m/w/d) Germany - Wiesbaden-Delkenheim posted: Posted Yesterday

Animateur HSE H/F Aix-les-Bains posted: Posted 30+ Days Ago

Sr. Applied Scientist, AWS Identity Arlington, Virginia, USA Are you passionate about programming languages, applying formal verification, program analysis, constraint-solving, and/or theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use. Technical Responsibilities: - Interact with various teams to develop an understanding of their security and safety requirements. - Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems. - Implement these tools through the use of SAT, SMT, and various concepts from programming languages, theorem proving, formal verification and constraint solving. - Perform analysis of the customer systems using tools developed in-house or externally provided - Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies. Leadership Responsibilities: - Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences. - Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. - Mentors and trains the research scientist

Alternance - Acheteur Junior - Achats Indirects - H/F Aix-les-Bains posted: Posted 25 Days Ago

Principal Applied Scientist, Automated Reasoning Seattle, Washington, USA We are seeking a Principal Applied Scientist to lead research and development in automated reasoning, formal verification, and program analysis. You will drive innovation in making formal methods practical and accessible for real-world systems at cloud scale. Key job responsibilities - Lead research initiatives in automated reasoning, formal verification, SMT solving, model checking, or program analysis - Design and implement novel algorithms and techniques that advance the state of the art - Mentor and guide applied scientists, research scientists, and engineers - Collaborate with product teams to transition research into production systems - Define technical vision and strategy for automated reasoning initiatives - Represent AWS in the academic and research community - Drive cross-organizational impact through technical leadership About the team The Automated Reasoning Group at AWS develops and applies cutting-edge formal methods and automated reasoning techniques to ensure the security, reliability, and correctness of AWS services and customer applications. Our work innovates tools and services to perform verification at scale and apply them to build safe and secure systems at AWS. We are also pioneering the use of formal verification and automated reasoning to develop agentic systems, ensuring AI agents operate within defined safety boundaries. Basic Qualifications: - MS or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field. - Industrial/academic experience in formal verification, and theorem proving. - Experience with program analysis, program verification or synthesis. - Experience with programming languages such as Rust, C, C++, Java,

Stagiaire - Losgistique Massy posted: Posted 3 Days Ago

Pashto/Dari Linguists Vienna, VA posted: Posted 30+ Days Ago

Principal HR Business Partner, Automated Reasoning, Agentic AI PXT Seattle, Washington, USA We are looking for an exceptional Human Resources leader to serve as the Principal HRBP for the Automated Reasoning team within Amazon's Agentic AI organization. This role demands someone who thrives at the intersection of deep technical talent and business strategy-someone who can earn trust with distinguished scientists and engineers while driving the people strategy for this deeply critical team. The AR team is scaling rapidly as demand for provably correct AI systems accelerates across Amazon and AWS. The Principal HRBP must be able to work independently, establish and execute long- and short-term people strategies, and interface effectively with professionals at all levels-from early-career researchers to distinguished scientists and VPs. You will need the ability to function in an innovative, intellectually demanding, and often ambiguous environment where the work product is research translated into production systems. The Automated Reasoning (AR) team at Amazon is pioneering one of the most consequential frontiers in artificial intelligence: using mathematical logic and formal verification to make AI systems provably correct. The AR team operates at the intersection of formal mathematics, neurosymbolic AI, and large-scale production systems-building technology that solves some of AI's biggest challenges. This is a high-visibility, high-impact team of world-class scientists and engineers-many with PhDs in formal methods, logic, and programming languages-working on problems that are genuinely novel and deeply technical. The culture is intellectually rigorous, mission-driven, and fast-moving. Key job responsibilities - Partner with AR leadership to develop talent

Associate Premium Auditor Denver, CO, US Description Our professional auditors are integral to our company's mission by ensuring the financial integrity of premium development. In this role, you will examine policyholders' operations and financial records to ensure exposures (such as payroll, sales, fixed assets) are accurately calculated within strict insurance guidelines and communicate audit findings through detailed formal reports. As a Premium Auditor, you will work out of your home, when not traveling to policyholders' locations. This position involves traveling to customer locations within a 50-mile radius of the Denver Colorado area. This position is eligible for mileage reimbursement. Open for experienced applicants. Responsibilities: Perform examination of policyholders' accounting and financial records to ensure accurate calculation of earned premium for smaller, less complex risks. Ensure that audited exposures (payroll, sales, fixed assets, etc.) are accurately calculated within strict insurance guidelines. Communicate audit findings through detailed formal reports supported by audit workpapers. Review appropriate audit documentation and/or company policy systems, to determine specific coverages provided by the policy and plan audit strategy. Investigate policyholder operations to obtain actual exposures, verify classifications as they apply to the policy and ensure conformity to various state laws and insurance regulations for the appropriate audit period. Prepare detailed work papers and written corre

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Quality Engineer Algiers posted: Posted 30+ Days Ago

Estágio em PCP Taubate posted: Posted Today

Quality Control Group Leader - 2nd Shift Parsippany posted: Posted 3 Days Ago

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.