WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Senior Member of Technical Staff – Algorithm & Performance Optimization - GPU Libraries THE ROLE – SMTS Algorithms & Performance Engineer As Senior Member of Technical Staff in the GPU Libraries group, you will provide technical leadership and strategic support across the AMD Radeon Open Ecosystem (ROCm) ecosystem. This role is focused on critically analyzing, reviewing, and improving GPU kernel algorithms within the Composable Kernel (CK) and MIOpen libraries, with a strong emphasis on performance tuning through both explainable heuristics and empirical benchmarking. Working collaboratively with library owners, kernel developers, and cross-functional performance engineering teams, you will drive kernel optimization strategies that translate directly into measurable gains for AI/ML and HPC workloads on AMD Instinct accelerators and Radeon GPUs. This position requires deep understanding and the ability to reason about performance from first principles while also leveraging data-driven analytics to guide tuning decisions. THE PERSON – GPU ML Libraries & Algorithms Expert To be successful in this role, you will be an experienced GPU performance engineer with a proven track record of analyzing, profiling, and optimizing compute kernels — moving fluidly between algorithmic design analysis, heuristic development, and kernel instance tuning. You are driven by curiosity about why a kernel performs the way it does, and you bring an intuitive sense for GPU execution dynamics that allows you to formulate and validate performance hypotheses rapidly. You thrive in environments where rigorous analysis meets pragmatic engineering, where you can design explainable heuristic models and run analysis on large-scale benchmark sweeps, synthesizing results into actionable tuning recommendations that uplift entire library ecosystems. KEY RESPONSIBILITIES: - Algorithm Analysis & Improvement: Critically review and improve kernel algorithms, identifying opportunities for redesign, fusion, and optimization that yield measurable performance gains across AMD GPU architectures. - Design explainable heuristic models for kernel selection, tile-size determination, data layout choices, and workload-to-CU mapping — ensuring tuning decisions are interpretable, maintainable, and adaptable. - Partner with teams to execute large-scale kernel benchmarking campaigns, building data pipelines and analytics workflows to process, visualize, and extract actionable insights from extensive performance datasets. - Partner with teams to perform deep-dive performance investigations using AMD profiling and tracing tools (rocProf, Omniperf, Omnitrace), correlating hardware counter data with kernel behavior to identify bottlenecks in compute, memory bandwidth, LDS utilization, Matrix Core throughput, and instruction issue rates. - Initiate, influence, and drive architecture, design, and documentation efforts as they arise across teams. Work closely with principal engineering staff to plan and execute technical governance activities across integrated libraries and engineering teams. - Leverage AI-assisted software development tools to accelerate design, implementation, review, and documentation of complex software libraries. Establish best practices for responsible use of AI assistance, including validation, review, and traceability of generated code and technical artifacts. PREFERRED EXPERIENCE: - Extensive and broad hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages e.g. Python, Rust. Knowledge or applied experience with popular AI/ML Frameworks (PyTorch, TensorFlow, JAX). - Proven experience with kernel performance tuning — both through principled heuristic design and through systematic empirical benchmarking. Ability to articulate why a tuning configuration works, not just that it does. Ability to reason about performance at the hardware level and translate architectural insight into kernel optimization strategies. - Familiarity with Composable Kernel (CK), MIOpen, or equivalent GPU kernel libraries (e.g., CUTLASS, cuDNN, NeuronSDK). Understanding of GEMM, convolution, attention, pooling and other core compute primitives used in AI/ML workloads. - Applied experience using AI-assisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration. ACADEMIC CREDENTIALS: - Advanced degrees, such as M.Sc./M.Eng. or Ph.D. are preferred — ideally in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field with focus on high-performance computing, GPU architecture, or numerical methods. LOCATION: California, USA or remote Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Principal Software Engineer- Platform Engineering ​​Remote, United States JOB OVERVIEW We are seeking a Principal Software Engineer to serve as a technical force-multiplier on Legion's Platform Engineering Team — the backbone of our multi-tenant SaaS application. As a Principal, you independently own significant platform domains, drive architectural decisions that span multiple teams, and elevate the engineering capability of everyone around you. This role is fundamentally about software engineering at scale. You will design and build the core platform services, APIs, and data systems that power Legion's product. You remain deeply hands-on — writing and reviewing production code — while operating with the judgment and autonomy of a staff-level engineer. You are a builder first. RESPONSIBILITIES AND DUTIES Technical domain ownership - Own the design, implementation, and evolution of one or more core platform domains — such as multi-tenancy, API framework, job processing, data pipelines, or platform SDK/extension points. - Lead end-to-end software design for significant new capabilities, from technical specification through production delivery and long-term maintainability. - Proactively identify and resolve scalability, correctness, and security issues in platform code and data models before they reach production. - Drive data modeling, API design, and service decomposition decisions for high-concurrency, enterprise-scale workloads. - Actively use GenAI coding tools (GitHub Copilot, Cursor, Claude Code) as a standard part of your software development workflow — demonstrated prior use required. - Establish team-wide best practices for AI-assisted development and code review. Cross-team technical leadership - Produce and champion design docs that establish engineering patterns adopted across Platform and adjacent product teams. - Lead design reviews for complex systems built by senior and mid-level engineers; provide structured, high-signal feedback that improves both the design and the engineer. - Partner closely with architects to translate long-term strategy into well-sequenced, concrete engineering work. - Collaborate cross-functionally with Product, QA, and Data Engineering to align software design with product and operational requirements. Code quality and engineering standards - Define and uphold coding standards, testing practices, and API design conventions for the Platform team. - Drive initiatives that measurably improve platform reliability and developer experience through better software design — not just tooling or process. - Lead post-mortems for significant production issues with a focus on durable software fixes, not operational workarounds. - Participate in on-call rotation; serve as the senior escalation point for complex production issues requiring deep code-level diagnosis. Mentorship and talent development - Actively mentor Engineers through technical pairing, design feedback, and structured growth conversations. - Identify and close skill gaps on the team through knowledge-sharing, internal documentation, and architectural walkthroughs. - Contribute to hiring: define the technical bar, design engineering interview problems, and provide substantive written debrief feedback. REQUIRED SKILLS AND QUALIFICATIONS - 8–12 years of experience designing and building backend or platform software for enterprise SaaS or cloud-native applications, with a primary focus on application-layer engineering, not infrastructure operations. - Deep expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design — demonstrated through architecting complex, high-throughput production systems. - 5+ years working in cloud environments (AWS preferred); strong understanding of how cloud services affect software design, performance, and cost — not just how to configure them. - Demonstrated experience independently driving multi-team software design decisions: writing design docs, facilitating alignment, and managing technical tradeoffs. - Strong command of distributed systems concepts: event-driven architecture, eventual consistency, multi-tenancy isolation, rate limiting, and fault tolerance — applied through code, not configuration. - Demonstrated active use of Generative AI coding tools in professional software development within the past 12 months. PREFERRED QUALIFICATIONS AND ATTRIBUTES - Hands-on experience with Elasticsearch and real-time messaging systems (Kafka, SQS, or equivalent) as components of application architecture. - Experience with feature flags and experimentation frameworks integrated into application code in high-scale SaaS environments. - Background in Workforce Management, HR Tech, scheduling, or other complex regulated enterprise domains. - Familiarity with multi-jurisdiction labor compliance requirements. COMPENSATION & BENEFITS Salary Range: Base Salary Range: $250,000 - $350,000 + Stock Equity At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data. Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers that allow employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and the internal equity for the same position within the company. Benefits include, but are not limited to: - $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment - 401k plan - Discretionary Paid Time Off and Paid Holidays - Parental Leave - Equity - Monthly Wellness Reimbursement - Monthly Lunch on Legion ABOUT LEGION Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Legion Technologies delivers the industry’s most innovative workforce management platform. It enables businesses to maximize labor efficiency and employee engagement simultaneously. The award-winning, AI-driven Legion WFM platform is intelligent, automated, and employee-centric. It’s proven to deliver 13x ROI through schedule optimization, reduced attrition, increased productivity, and increased operational efficiency. Legion delivers cutting-edge technology in an easy-to-use platform and mobile app that employees love. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling. BACKGROUND AND OPPORTUNITY There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is comprised of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co EQUAL EMPLOYMENT OPPORTUNITY Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. DISABILITY ACCOMMODATION For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law. How We Determine What We Pay As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay. Job Applicant Privacy Policy This Job Applicant Privacy Policy (“Policy”) describes how Legion Technologies, Inc. (“Legion”, “we”, “us” and “our”) collects, uses, and discloses “personal information” as defined under California law from and about job applicants who are residents of California. This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role, the Legion Privacy Policy applies. - Types of Personal Information We Handle We collect, store, and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity, such as an employment agency or consultancy, background check provider, or other referral sources. This information includes: - Identification and contact information, and related identifiers such as full name, date and place of birth, citizenship and permanent residence, home and business addresses, telephone numbers, email addresses, and such information about your beneficiaries or emergency contacts. - Professional or employment-related information, including: - Recruitment, employment, or engagement information such as application forms and information included in a resume, cover letter, or otherwise provided through any application or engagement process; and copies of identification documents, such as driver’s licenses, passports, and visas; and background screening results and references. - Career information such as job titles; work history; work dates and work locations; information about skills, qualifications, experience, publications, speaking engagements, and preferences; and professional memberships - Education Information such as institutions attended, degrees, certifications, training courses, publications, and transcript information. - Legally protected classification information such as race, sex/gender, religious/ philosophical beliefs, gender identity/expression, sexual orientation, marital status, military service, nationality, ethnicity, request for family care leave, political opinions, and criminal history. - Other information such as any information you voluntarily choose to provide in connection with your job application. - How We Use Personal Information We collect, use, share, and store personal information from job applicants for our and our service providers’ business and operational purposes in the recruitment process such as: processing your application, tracking your application through the recruitment process, contacting references with your authorization, conducting background checks you authorize, and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes, such as in connection with any challenges made to our hiring decisions. - With Whom We Share Personal Information We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable): - Internally: to other Legion personnel involved in the recruiting and hiring process. - Vendors: such as technology service providers, travel management providers, human resources suppliers, background check companies, and employment agencies or recruiters, where applicable. - Legal Compliance: when required to do so by law, regulation, or court order or in response to a request for assistance by the police or other law enforcement agency. - Litigation Purposes: to seek legal advice from our external lawyers or in connection with litigation with a third party. - Business Transaction Purposes: in connection with the sale, purchase, or merger. - How to Contact Us About this Policy – If you have any questions about this Policy, please contact privacy@legion.co.

Role Description We are seeking a Sr. Developer to be responsible for leading the development and execution of innovative software solutions, leveraging cutting-edge AI technologies. You will need to have a strong technical background, excellent problem-solving skills, and the ability to work in a fully remote, collaborative environment. Responsibilities - Lead the design, development, and deployment of high-quality software solutions. - Collaborate with cross-functional teams to define project requirements and deliverables. - Mentor and support junior developers in their technical growth. - Stay current with emerging technologies and industry trends. - Ensure code quality and maintainability through code reviews and adherence to best practices. - Participate in agile development processes and contribute to continuous improvement initiatives. Qualifications - Bachelor’s Degree in Engineering, Computer Science, or related scientific/technical discipline. - Additional years of relevant experience may be substituted for the required education. - Minimum of 7 years of hands-on experience in software development. - Experience with modern development frameworks and tools. - Strong understanding of software development methodologies and best practices. - Excellent problem-solving skills and attention to detail. - Tech Stack required for this position: - Java, Spring Boot, .NET Core, Node.js, React - Oracle, SQL, PostgreSQL, Redis - Kubernetes, Docker, Jenkins, Gitlab CI/CD, Terraform - VA Enterprise Cloud (AWS GovCloud + Azure Gov) Preferred Qualifications - Knowledge of Splunk, ServiceNow - Knowledge of Okta, Ping Identity, VA IAM services, FedRAMP compliance requirements - Knowledge of Kafka, MuleSoft and IBM MQ Working Conditions Standard Business hours are Monday through Friday. Occasional extended or weekend hours may be required based on operational needs. Must have reliable internet service that allows for effective telecommuting. Benefits - Medical, Dental, and Vision - Health Saving Account (when enrolled ineligible plan) with Company contribution - Company paid Life, Accidental Death, Short-term & Long-term Disability - Voluntary Accident, Hospital Indemnity, & Critical Care Insurance - Voluntary Medical & Dependent Care Flexible Spending Accounts - Accrued Paid Time Off & Company Paid Holidays - 401(k) Retirement Plan with Company match Work Authorization Sprezzatura participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the U.S. EEO Statement Sprezzatura is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other legally protected characteristic. Applicants have the right to discuss, disclose, or inquire about compensation without retaliation. Reasonable accommodations are available for qualified individuals with disabilities.

About CompaCompa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. Location: While Compa is a remote friendly company, for this role there is a preference for candidates located near one of our offices in Irvine, CA, Denver, CO or Boston, MA. The Role:At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design. As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers. In this role, you will: - Ship production-grade software across Compa’s web app and backend systems - Build new features and improve existing workflows in collaboration with Product and Design - Write clean, scalable code and contribute to system architecture decisions - Participate in code reviews, team rituals, and roadmap discussions - Solve real problems for enterprise compensation teams—from data pipelines to user experience Minimum Qualifications - 5+ years of experience shipping production software in a collaborative environment - Strong proficiency in at least one modern web development language or framework - Comfortable working across the stack or specializing in either frontend or backend - Proven ability to work autonomously and follow through on commitments - Pragmatic and thoughtful about trade-offs—focus on outcomes over tools - Strong communication and collaboration skills Preferred Qualifications - Experience in early-stage or high-growth startup environments - Familiarity with compensation, HR tech, or enterprise SaaS (not required) - Experience working on data-driven products or complex user workflows - Interest or experience in AI systems or ML infrastructure (a plus, not a requirement) - Comfortable navigating ambiguity and working in fast-paced, iterative environments Tech StackYou don’t need experience with all of these, but familiarity with any is a plus: - Backend: Django, Python - Frontend: React, TypeScript, GraphQL - Infrastructure: AWS - Other Tools: vLLM, Linear, Slack, Notion, Metabase