System validation engineer jobs in Palo Alto, CA - 808 jobs

The Role: Minted is looking for a talented Principal Engineer who will join us in delivering a customized stationery editing platform. This person will have a deep understanding of rendering technologies that generate images and PDFs. Your expertise should help lead us in driving a broad spectrum of architectural decisions and core technologies that will define the long‑term rendering platform that our customer experiences will be built on. As we deliver this platform, we will be tasked with finding ways of continuing to deliver customer value while we get to the end state. #LI-Remote You will: Design and create the core image rendering and customization technology that powers Minted's stationery business and brings our artists' work to life in real products Design and create libraries to render customizable artwork both in the browser and on the server side with WebGL/WebGPU, or other advanced 2D/3D rendering engines beyond SVG and canvas, especially those optimized for performance and complex visual effects. Design and assist in data migration solutions for rendering assets and configurations - Minted template repository is in the millions and this work will be important for our success. Solve hard problems like rendering dynamic text and fonts on curved paths, color management, and more Dig into the details and deliver an impactful portion of the solution You are: Up to speed with the latest web technologies and industry best practices Ready to go with modern services architecture (SOA) Thinking API first Able to present complex technical information in a clear and concise manner Collaborative and candid with non‑engineering stakeholders, including PM and UX You have: 15+ years of professional software development experience Extensive professional experience in building 2D/3D rendering engines Have experience in replatforming efforts with a demonstrated ability to lead and collaborate with multiple teams (product, design, other engineering teams) during a significant architectural transition. Experience in computer graphics, document formats (PDF, SVG, XPS, PostScript), and image compression technologies. Experience with common rasterization problems and vector image processing, such as font rendering Familiarity with raster image processing and color management algorithms Deep understanding of image quality metrics and evaluation methodologies and industry standards Bonus Points: Experience writing automation scripts or plug‑ins for Adobe Illustrator Compensation: The compensation range for the role applies to employment offers from Minted. Our employment offers fall between the minimum and midpoint of the range to allow for continued salary growth during your employment at Minted. The upper half of the range accommodates this growth and supports our intention to create an environment that encourages lasting relationships between Minted and our employees. Geo Base Full Salary Range 0 - Includes SF Bay Area - $230,729 - $302,832 Geo Base Full Salary Range 1 - All non‑SF CA, DC, NY - $212,270 - $278,605 Geo Base Full Salary Range 2 - Includes CO, IL, MA, MD, NJ, OR, RI, TX, VT, VA, WA - $196,119 - $257,407 Geo Base Full Salary Range 3 - Includes AL, AK, AZ, AR, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, ME, MI, MN, MO, MS, MT, ND, NE, NM, NV, NH, NC, OH, OK, PA, SC, SD, TN, UT, WI - $179,968 - $236,209 Salaries will vary based on various factors including but not limited to professional and academic experience, associated job responsibilities, and/or other business or organizational needs. This role is eligible for a bonus and stock options. Benefits: Medical, Dental, and Vision Benefits Employer Funded Health Savings Account 10 Paid Holidays Paid Time Off and Sick Leave Paid Parental Leave Monthly Gym/Wellness Reimbursement 401(k) retirement savings plan Employer Funded Commuter Benefits Employee Discount Friends and Family Discount DISCLAIMER: We verify identity at the start of interviews to ensure fairness and security. We reserve the right to withdraw candidates who misrepresent their identity, experience, or qualifications at any stage of the process. Notice of AI Use in Employment Decisions: We use AI‑powered tools, including Brainner AI, to support our hiring and employment processes. These tools help assess job‑related qualifications and improve efficiency, but all decisions involve human review. About Minted Artists shape culture. They spark conversation, create connection, and bring beauty into the world. Minted is where they come together to reach further. Our marketplace empowers a thriving community of independent artists to sell and scale their work. We nurture self‑expression, cultivate community, and bring the best in visual art to a global audience. We're building a new way to discover the world's best creative talent. We're here for the emerging talent ready to take off, the local favorites ready to grow, and the established artists ready to dream bigger. At Minted, our people don't just believe in the power of art-we live it. We have our finger on the pulse of what's new and now. We're obsessed with great design, art, and interiors. We're in galleries, at fairs, and constantly finding inspiration online. We seek undiscovered talent that deserves to stand up and stand out. We connect with artists that have something to say, and we collaborate to amplify their work. The Minted community's art, stationery, and textiles products have reached over 75 million homes worldwide. Our marketplace brings the best in independent design to consumers everywhere. We recognize the challenges independent artists face, and we leverage our resources to level the playing field and create a platform that gives artists the freedom to develop their craft and grow their business. We are headquartered in San Francisco, CA and currently employ 350+ full‑time employees, plus additional temporary workers during the holiday season. We have raised over $300M from top-tier investors including Benchmark Capital, T. Rowe Price, Permira, Ridge Ventures, Technology Crossover Ventures, and Norwest Venture Partners. Angel investors include Marissa Mayer, Jeremy Stoppelman, Julia & Kevin Hartz, Yishan Wong, and more. Minted is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. Minted participates in the E‑verify program. How Our Process Works: Minted uses technology and innovative practices to bring unique, best‑selling design to market at scale. Using its crowdsourcing technology, consumers are empowered to vote for the designs they love and want to see sold, ensuring that Minted always sells continuously fresh and trend‑forward product. The winning designs are manufactured by Minted, enabling artists from around the world to share and sell their work while letting Minted do the rest. Since launch in 2007, the company has expanded to serve consumers in new categories including wall art, textiles, digital content and home decor, as well as serve major retailers and consumer products brands with data‑backed design through licensing and wholesale partnerships. #J-18808-Ljbffr

Annapurna Labs is looking for talented and experienced engineers to join the System Verification team and help solve and technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of state‑of‑the‑art products within a disruptive system architecture. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast‑paced environment. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee‑led and company‑sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional. Basic Qualifications Electrical/Computer Science engineer 8+ years of experience with full‑chip/system‑level verification of a large‑scale SoC Experience with Test Writing and SW development (C/C++/Assembly) Hands‑on verification/validation experience, including: debugging emulation and/or silicon platforms, waveform debugging, coverage definition and analysis, etc. Preferred Qualifications Knowledge of ARM architecture Knowledge of the following programming languages: Perl/Bash/Tcl/Python Knowledge of Processors, PCIe, Ethernet, DDR Knowledge of Hardware Verification concepts and tools (UVM, Coverage Driven verification), Verilog/SystemVerilog/Specman Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: January 11, 2026 (Updated about 5 hours ago) Posted: January 11, 2026 (Updated about 9 hours ago) Posted: January 8, 2026 (Updated 3 days ago) Posted: January 8, 2026 (Updated 3 days ago) Posted: January 8, 2026 (Updated 3 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

The Power Product group at Renesas is a core part of the company's vision to deliver safe, smart, and sustainable solutions for automotive, industrial, infrastructure, and IoT markets. Renesas aims to triple its power business by 2030, leveraging a broad portfolio of power management ICs, discrete devices, and wide-bandgap technologies (GaN, SiC) to address megatrends such as electrification, energy efficiency, and AI-driven systems. 【Background of the Recruitment】 Our group Automotive System Power within the Power group focuses on Intelligent Power Devices (IPDs) and High‑Side Switches (HSS), which are critical for next‑generation automotive ECUs, centralized architectures, and EV/Hybrid platforms. These products enable safe power distribution, diagnostics, and protection, reducing complexity and improving reliability in modern vehicles. 【Career Growth Opportunities】 As the automotive industry transitions toward centralized ECU architectures and Electric Vehicles (EVs) and Hybrid platforms, the Intelligent Power Device (IPD) market is projected to grow steadily year over year. This evolution demand for advanced power management solutions, making validation engineering a critical function in ensuring reliability and safety. Within Renesas Power Electronics Group: Engineers can progress from Senior Validation Engineer to Validation Team Lead, and further into global leadership roles influencing validation strategies and product development direction. Beyond Validation: Opportunities extend into program management, system architecture, and global engineering leadership, supported by Renesas' strong presence in automotive electrification and industrial power markets. Industry Outlook: With the automotive transition to centralized ECUs and the rise of EVs and hybrids, the IPD/HSS market will continue to expand, offering long‑term career stability and global impact. 【Position Attractiveness】 Work on next‑generation IPDs/HSS technologies for automotive. Contribute to global projects in electrification and smart power systems. Join a team aligned with Renesas' 2030 growth vision, offering a clear path to leadership and beyond. *The full details regarding your position scope as well as any future potential changes in work location and job scope will be provided during the interview process. Qualifications 【MUST】 Post silicon Validation experience Equipment handling (Knows how to operate all equipments like PowerSupply, Oscilloscope etc.) Silicon Validation planning, Validating, Data analysis, report making Ability to communicate in English (conversation level) 【WANT】 Python scripting experience Power electronics knowledge Additional Information ルネサスは,「To Make Our Lives Easier」 （人々の暮らしを楽“ラク”にする）というPurposeの下,組み込み半導体ソリューションを提供します。高品質とシステムレベルノウハウを兼ね備えた組み込み半導体のリーダーとして,自動車,産業,インフラ・IoT分野向けに,ハイパフォーマンスコンピューティング,組み込みプロセッシング,アナログ＆コネクティビティ,そしてパワーを含めた幅広い製品ポートフォリオを軸とした,スケーラブルで包括的なソリューションを提供しています。 ルネサスは,30か国以上で22,000 人を超える多様性あふれる従業員と共に,限界に挑戦しながら,デジタライゼーションを通じてユーザエクスペリエンスを充実化させ,新たなイノベーションの時代を切り開いていきます。そして世界中の人々やコミュニティの未来のために,持続可能で省エネ効果の高いソリューションの開発に全力で取り組み,「To Make Our Lives Easier」を実現します。 ルネサスで実現できること キャリアをスタート,そしてキャリアアップ：4つのプロダクトグループをはじめ,さまざまな部門において技術職として,また幅広いビジネスの経験を積むことができます。ハードウェア,ソフトウェアの専門知識を深めたり,新しいことにチャレンジしたりする機会があります。 やりがいとインパクトのある仕事をする： 革新的な製品とソリューションの開発に関わることにより,世界中のお客様のニーズに応えると同時に,人々の生活をより便利で安全かつ安心なものにすることに貢献できます。 「ウェルビーイング」に焦点を置いた環境で最大限に能力を発揮する：ルネサスでは,リモートワーク制度などによる柔軟な勤務体制づくり,また従業員リソースグループの積極的な活動をサポートするなど,インクルーシブな職場環境構築を目指しています。従業員を第一に考えたカルチャーとグローバルなサポート体制が,入社後すぐに活躍できる環境を提供します。 自分の力で成功を掴み,キャリアを築く準備はできていますか？ ルネサスで一緒に未来を形づくっていきましょう。 当社では,ハイブリッド勤務モデルを採用しており,従業員は週に2日間リモートワークを行うことができます。同時に,残りの日はチームとしてオフィスに集まり,協働を強化しています。出社指定日は火曜日から木曜日で,イノベーション,コラボレーション,そして継続的な学習に取り組む日としています。 #J-18808-Ljbffr

A leading AI hardware startup in San Francisco is seeking a Post-Silicon ASIC Validation Engineer. The ideal candidate will focus on validating complex multi-die systems and high-speed interconnects. Responsibilities include driving validation planning and execution, developing automation, and collaborating with design teams. Candidates should have a relevant degree and expertise in ASIC validation, UCIe standards, and Python scripting. The role offers a salary range of $185,000 - $250,000 annually, depending on experience. #J-18808-Ljbffr

A leading robotics firm in San Francisco is seeking a Senior Simulation Validation Engineer to bridge operational needs with the simulation platform. The ideal candidate will have over 5 years of experience in system validation and possess strong problem-solving skills. Salary is between $180,000 and $225,000, along with generous equity options. The culture emphasizes ambition, resilience, and innovation. #J-18808-Ljbffr

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

A leading technology company in San Jose is seeking a candidate for a role focused on designing and building AI-driven workflows for security operations. Candidates should have a strong background in security operations, extensive Python development experience, and familiarity with security data tools. You'll collaborate closely with various teams to enhance detection and response strategies. The position offers competitive compensation ranging from $291,500 to $369,100, alongside a rich suite of benefits. #J-18808-Ljbffr

We are supporting a biotech client in South San Francisco that is seeking a Senior Validation & Facilities Engineer to step into an execution-heavy GMP environment and take ownership of facility and equipment qualification activities. This is not a junior validation role and not a project management position. The client needs a hands-on senior engineer who can independently assess risk, define appropriate validation strategy, challenge vendor documentation when necessary, and execute qualification work with minimal oversight. This is a great opportunity to truly own scope rather than operate under rigid templates! Responsibilities Lead and execute facility and environmental qualification activities, including: Smoke studies / airflow visualization Pressurization and differential pressure studies Temperature mapping EMPQ support for GMP rooms Review and assess vendor commissioning and IOQ documentation for adequacy Determine when supplemental or wrapper protocols are required Support qualification of process and laboratory equipment (multiple units) Apply and justify representative qualification strategies where appropriate Perform P&ID walkdowns, redlines, and field verification Author and execute validation protocols and reports Coordinate with QA, Facilities, Engineering, Manufacturing, QC, and vendors Provide clear weekly progress updates and flag risks early Requirements: 10+ years of hands-on validation and facilities engineering experience in a GMP biotech or pharmaceutical environment Proven experience leading validation execution, not just reviewing documents Strong background in: Facility qualification and EMPQ HVAC systems Smoke studies / airflow visualization Temperature mapping Utilities and process equipment qualification Comfortable making risk-based decisions and defending technical judgment Able to work fully onsite in a fast-moving environment

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking for a Staff Network Validation Engineer to perform manual test and create automation for Web-Based application on switches, SCM, SCC, ethernet cards, infiniband switch and HBAs validations. Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned): Testing front-end GUI. Create and maintain automation for Front-End applications Conduct functionality testing, compatibility testing, performance testing, stress and reliability testing Report hardware and software quality issues into bug tracking systems Document and analyze test data Maintain and improve validation test plans and test instructions Contribute in the development of test utilities and test script automation Support internal and external quality issues and drive to issue resolution Qualifications: * BS/MS in Electrical Engineering, Computer Engineering, or Computer Science with 12+ years of working knowledge in hardware/networking field is strongly desirable * Experienced in Front-End web-based, Selenium, Cypress, PlayWright, or the similar is preferred. * Familiar with Rest API, Postman, curl is a plus. * knowledge of computer networking, SONiC, TCP/IP, L2/L3, SDN, and InfiniBand is a plus. * Familiar with Linux, Windows, and networking * Strong in python, and bash scripting * Power shell scripting is a plus * Strong sense of team work and a good team player, strong communication skills * Knowledge and experience of server performance benchmarks and tuning is a plus Salary Range $160,000- $180,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

About the Role At Uber, Developer productivity is a cornerstone of our innovation engine - productive developers will deliver more features faster to our world-wide end users. We are seeking a world-class Principal Engineer (Director-equivalent) to lead the next frontier of software development by pioneering a new generation of AI-powered developer tools. This is one of our most senior individual contributor roles, designed for a technical visionary who will act as a force multiplier for thousands of engineers across the company. You will be the key architect of our strategy to embed intelligence into every stage of the developer lifecycle-from ideation and documentation to coding, testing, deployment, and observability. Your work will directly accelerate developer velocity, elevate our standards for software quality, and unlock new business opportunities by enabling the rapid integration of agentic AI into our products. This role carries executive-level visibility and the autonomy to solve our most complex engineering challenges. If you are a recognized expert in developer platforms and are passionate about leveraging AI to redefine engineering efficiency at a global scale, we want to hear from you. What You'll Do Define the Vision: Architect and drive the long-term technical vision and roadmap for AI-powered developer tools and infrastructure at Uber. Evaluate and Execute on new solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience. Drive Company-Wide Impact: You are a builder, so you won't just stop at ideation. You'll make sure the solutions you build concretely and measurably deliver, and show step-change improvements in key engineering metrics, including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches. Lead Strategic Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership. Enable New Business Verticals: Build the foundational platforms and tools that allow product teams to rapidly prototype, build, and scale new agentic AI features for our customers. Be the Technical Authority: Serve as the ultimate subject matter expert on developer productivity and AI-driven tooling, providing technical guidance and mentorship to senior engineers across the organization. You'll bring your expertise from industry trends into our fast paced and evolving ecosystem. Innovate at Scale: Solve sophisticated technical challenges inherent in a distributed system that supports tens of thousands of microservices and mobile developers. Basic Qualifications BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience. 15+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation. Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion. Recognized expertise in developer platforms, infrastructure, CI/CD, and software development lifecycle tooling. Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems. Experience influencing and aligning senior leadership (Director, VP level) on technical strategy and road bergen. Preferred Qualifications Deep expertise in leveragingԥLarge Language Models (LLMs) and other generative AI techniques to build intelligent developer tools. A strong background in compilers, code analysis (static/dynamic), or building large-scale distributed systems. Experience building and scaling platforms that serve thousands of engineers in a complex, polyglot environment (Go, Java, Python, Swift, Kotlin). A history of significant contributions to the open-source community, publications in top-tier conferences, or patents in relevant fields. Expertise with modern build systems (e.g., Bazel, Buck) and container orchestration technologies (e.g., Kubernetes). About the Team Our organization's mission is to enable Uber developers to build high-quality software consistently and without frustration. By joining us, you will be at the epicenter of Uber's engineering culture, with a unique opportunity to shape its future. For San Francisco, CA-based roles: The base salary range.Keyboard read for? Wait; I will keep the original: "For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year." Etc.. But I'm sorry difficulties. Continuing: … The content continues as in the original. etc.." They may want to keep all paragraphs as originally. This solution is not good. Breaking ... #J-18808-Ljbffr

Principal Engineer, Shared Platforms & Services - AI Enablement page is loaded## Principal Engineer, Shared Platforms & Services - AI Enablementlocations: HQ-Office, San Francisco, CA, USA: Remote - USAtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R-0146656Calling all originals: At Levi Strauss & Co., you can be yourself - and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit - and your future.As the Principal Engineer for Shared Platforms & Services, you will play a pivotal role in evolving the core technology foundation that powers Levi Strauss & Co.'s digital ecosystem. You will architect and mature the platforms, services, and infrastructure that enable our engineering teams to deliver resilient, scalable, and secure systems. Reporting into the Sr. Director, Platform Engineering & Shared Services, you will lead with technical excellence. You will provide thought partnership across engineering domains. You will drive responsible use of generative and agentic AI. You will help shape a world-class platform organization that accelerates product delivery across the enterprise.## About the Job* Lead the evolution of modern engineering toolchains and practices, including CI/CD, automated testing, code review, observability, and infrastructure automation. Integrate generative/agentic AI to improve developer productivity, incident response, and software quality.* Architect, develop, and mentor teams to build extensible, maintainable, and reusable platform components, frameworks, and shared services for an AI-powered future.* Define and champion platform standards for reliability, scalability, reusability, simplicity, security, and responsible AI and data-privacy practices.* Establish best practices for coding, integration, validation, and quality metrics, driving consistency and maintainability across teams.* Lead adoption of domain-driven design, event-driven architecture, distributed systems, and modular platform patterns.* Provide expert architectural guidance for complex engineering challenges, ensuring interoperable, domain-based, and scalable platform architecture.* Champion engineering excellence through agile leadership, DevSecOps practices, platform-as-a-product principles, and data-informed decision-making.* Stay ahead of platform, cloud, and AI/ML industry trends; lead experimentation and thoughtful adoption of emerging technologies.* Partner across Engineering, Security, Production Support, Product Management, UX, and Commercial teams to align platform capabilities with enterprise needs.* Influence stakeholders, drive platform adoption, and improve developer experience to accelerate product delivery.* Foster a product-led, customer-centric culture rooted in reliability, scalability, and intuitive platform capabilities.* Mentor and grow engineering talent, support hiring efforts, and cultivate expertise in platform engineering, AI, modern development practices and distributed systems.* Communicate complex technical concepts clearly across audiences-building excitement and alignment around platform modernization and AI enablement.## About You* 12+ years of experience in product, software, and/or platform engineering roles, with a strong focus on platform architecture, cloud technologies (GCP, Azure), distributed systems, and modern engineering toolchains.* At least 4 years of experience focused on AI/ML, with deep expertise in generative and agentic AI and their application to modern engineering workflows.* Unwavering customer-focused ethos, placing internal developers, platform customers and end consumers at the core of all decisions.* Demonstrated success leading cross-functional engineering initiatives and working with geographically distributed teams across time zones.* Mastery of modern SDLC practices, agile methodologies, CI/CD, DevSecOps, observability, and the broader DevOps movement, with demonstrated improvements to delivery performance.* Demonstrable ability to drive architectural and operational decisions.This is a remote or hybrid work schedule based in our San Francisco, CA headquarters. If based in San Francisco, you will be expected in office 3 days per week typically Tuesday-Thursday. Note, time in office can vary depending on business needs.*The expected starting salary range for this role is $144,800 - $241,200 per year**.*** *We may ultimately pay more or less than the posted range based on the location of the role. The amount a particular employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and business needs.*Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits .LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success.#LI-Remote## **EOE M/F/Disability/Vets**## ## **LOCATION**San Francisco, CA, USA## ## **FULL TIME/PART TIME**Full time**FILL DATE**This position is expected to be filled by 03/11/2026.##Our common thread: We're originals.From day one, we've been doing it our way - creating our own drumbeat and building something that's different from the rest. That's why we're looking for people who are excited about finding their career fit and transforming the future. Because at Levi Strauss & Co., you can do what you love while staying true to who you are. #J-18808-Ljbffr

P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range: $220,400 - $297,400 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading technology company based in California is seeking a Principal Machine Learning Engineer to join their Content Relevance team. The role involves driving the technical roadmap and optimizing personalized video recommendation systems. Candidates should have at least 9 years of industry experience, strong programming skills, and the ability to solve complex problems. This position offers a competitive salary, with ranges between $276,000 and $414,000 annually, and is eligible for equity in RSUs. #J-18808-Ljbffr

About Inworld At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the multimodal models, pipelines and tools needed to build and evolve consumer‑scale, real‑time conversational AI applications across learning, health, social, assistants, games and media. We've raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft's M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We've also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. About the role Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state‑of‑the‑art quality, exceptionally fast, and cost‑effective. We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that power our platform. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI‑driven software. Responsibilities Experiment with and implement cutting‑edge ML models and techniques to advance our core AI capabilities. Train, evaluate, and optimize production‑scale models and systems, focusing on quality, latency, cost, and on‑device constraints. Collaborate with product and backend teams to translate novel ideas and research findings into robust, production‑ready solutions. Qualifications A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience. 5+ years of combined experience in software development (Python, C++) and applied ML engineering. Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning. Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML research and its applications. Ability to work collaboratively in a fast‑paced environment with shifting priorities. Familiarity with pre‑training, fine‑tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. We believe in the power of in‑person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $240,000 - $385,000 + bonus + equity + benefits. #J-18808-Ljbffr

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office‑based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Roles and Responsibilities This role is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. The key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies. Expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities. Position Summary This role is responsible for defining and leading the engineering approach for Bank of America's Stablecoin solutions. It includes complex features to deliver significant business outcomes, enabling development efficiencies, providing technical thought leadership, and maintaining end‑to‑end solution design and delivery. Responsibilities Develop the engineering approach for the entire program/portfolio solution and work with Architecture to develop, analyze, and deliver the implementation of technical enablers. Lead the planning, definition, and design of complex features that span multiple teams and explore solution alternatives. Create ideas for designing complex technology and solution development approaches. Lead the technical oversight for teams in solution development, including design reviews and code within one's domain. Define the technology tool stack for the solution within the range of internally approved and supported technologies. Explore state‑of‑the‑art technologies to improve development efficiencies, quality of test/QA coverage, and release management. Lead and be responsible for the end‑to‑end test strategy/creation/adherence and the integration between teams for a program/portfolio solution. Ensure that the Stablecoin design and engineering approach for complex features are consistent with the larger payments ecosystem. Define the technology tool stack for the solution and evaluate and adapt new testing tools/frameworks/practices for team(s). Enable team(s)/applications with CI/CD capabilities and engage with other technical stakeholders pertaining to efficient functioning of the CI/CD pipeline. Guide and influence teams on design and best practices for high code performance - e.g., pairing, code reviews. Provide end‑to‑end delivery of complex features, including automation, for either a single team or multiple teams, at the program level. Conduct research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features. Work with stakeholders to establish high‑level solution needs and with architects for technical requirements. Managerial Responsibilities Opportunity & Inclusion Champion: Model an inclusive environment for employees and clients, aligned to company Great Place to Work goals. Manager of Process & Data: Demonstrate deep process knowledge, operational excellence and innovation through a focus on simplicity, data‑based decision making and continuous improvement. Enterprise Advocate & Communicator: Communicate enterprise decisions, purpose, and results, and connect to team strategy, priorities and contributions. Risk Manager: Ensure proper risk discipline, controls and culture are in place to identify, elevate and debate issues. People Manager & Coach: Provide inspection, coaching and feedback to motivate, differentiate and improve performance. Financial Steward: Actively manage expenses and budgets in alignment with objectives, making sound financial decisions. Enterprise Talent Leader: Assess talent and build bench strength for roles across the organization. Driver of Business Outcomes: Deliver results by effectively prioritizing, inspecting and appropriately delegating team work. Required Qualifications Minimum 8 years' work experience in Software Engineering. Experience designing crypto‑currency solutions. Knowledge of emerging blockchain trends, protocols, and experience with layer‑2 scaling solutions. Knowledge of blockchain/digital asset technologies. Deep understanding of custody and technical patterns in digital assets. Understanding of retail/commercial stablecoin environment. Skills Automation Influence Result orientation Stakeholder management Technical strategy development Application development Architecture Business acumen Risk management Solution design Agile practices Analytical Collaboration Data management Solution delivery process The following laws or regulations restrict or prohibit the hiring of individuals with certain specified criminal history for the position: FDIC, FINRA. Shift 1st shift (United States of America) Hours Per Week 40 Pay Transparency details US - CA - San Francisco - 315 Montgomery St - 315 Montgomery (CA5704) Pay and benefits information Pay range $156,500.00 - $230,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. #J-18808-Ljbffr

A financial technology company is seeking a Principal Machine Learning Engineer in Mountain View, California. This role involves leading AI strategy and deploying AI/ML solutions across financial products. Candidates should have over 10 years of experience in ML development, a Master's or Ph.D. in Computer Science, and expertise in Python and modern ML frameworks like TensorFlow and PyTorch. Competitive compensation and benefits are offered. #J-18808-Ljbffr

Principal Engineer, Enterprise Applications page is loaded## Principal Engineer, Enterprise Applicationslocations: Scottsdale: Chicago: San Franciscotime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ2025982Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.**Overall Purpose****Essential Functions*** Identify and solve for the most impactful issues in the organization and partner with other organization teams to create both short-term and long-term solutions.* Provides continuous improvement in the operational processes by introducing more innovation and automation.* Collaborate with team members and leadership to execute strategic goals and objectives. Partner in defining longer term plans, priorities, and goals.* Identify opportunities to improve efficiencies, streamline process and implement best practices.* Work with peers and other departments in the architecture, infrastructure, and security groups in defining roadmaps, setting goals, and providing updates.* Engage actively across IT as an expert technical resource, mentor, and principal advisor* Research, implement and maintain new technology that provides value to department and company.* Work closely with management to ensure that quality, budgetary, and regulatory requirements are being successfully monitored and met across the Client Computing team.* Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.* The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.**Minimum Qualifications*** Education and experience typically obtained through completion of a Bachelor's degree in Computer Information Systems/Computer Science* Minimum 10 years' progressive direct or related experience* Proven relevant industry experience and a proven track record of expertise in the management of end user technology with a demonstrated progression of responsibilities.* Demonstrated ability to lead through influencing and facilitating cross-functional teaming to realize outcomes.* Excellent written and verbal communication skills with an ability to communicate at all levels of the organization.* Hand-on experience troubleshooting and management with Windows and OS environments* Background and drug screen**Preferred Qualifications*** Additional related education and/or experience preferred.* Competency in a wide range of desktop technologies including , but not limited to: MS Windows, Apple OS, Active Directory, User and Group Management, and MS Office suite.* Experience with collaboration tools such as Zoom and MS Teams**Physical Requirements**Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 15 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire.The base pay scale for this position in: Phoenix, AZ/ Chicago, IL in USD per year is: $151,000 - $189,000. New York, NY/ San Francisco, CA in USD per year is: $181,000 - $226,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits.Some of the Ways We Prioritize Your Health and Happiness * Healthcare Coverage -Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.* 401(k) Retirement Plan -Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.* Paid Time Off - Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.* 12 weeks of Paid Parental Leave* Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work. And SO much more! We continue to enhance our program, so be sure to for the latest. Our team can share more during the interview process!Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.**CURRENT EMPLOYEES: Apply for open positions via Job Hub in your Workday Account.** for an assistance request.E-Verify***.***## Privacy Notice***Effective:** May 2, 2025*This privacy notice is intended to inform California residents of the personal information we collect, how it's used and disclosed, and the rights you have in regard to such information.Click below for the full privacy notice #J-18808-Ljbffr

Build the Future of Scalable AI at TrueFoundry At TrueFoundry, we're redefining how ML teams train, deploy, and scale their models. Our LLMOps and MLOps platform empowers organizations to experiment faster, train large-scale models reliably, and deploy them seamlessly on Kubernetes-with the same muscle as Big Tech. We're looking for an Engineer who is passionate about scaling deep learning workloads, optimizing multi-GPU training, and shipping production-grade solutions. The Role: We are seeking a Staff / Principal Engineer to join our Core Engineering team as a senior technical leader based in the United States. You will: Solve some of the most complex Engineering problems and drive it alongside a team of engineers & ML researchers. Build a deep, holistic understanding of the TrueFoundry platform across all components and shape the product vision and implementation. Act as the technical face of engineering for customer-related discussions and escalations Guide and unblock engineers across projects in the US region Partner closely with our CTO and India-based engineering team to drive system design, architecture, and implementation of complex products Lead technical design, critical customer problem-solving, and platform scalability initiatives end-to-end This is a high-ownership, high-impact role designed for an engineer who loves combining world-class systems thinking with real-world execution. What You'll Do: Develop deep expertise across TrueFoundry's platform stack - infrastructure, deployment systems, LLM/ML orchestration, observability, cost optimization, and more Drive the system architecture and design for complex, distributed, cloud-native systems Act as the technical point-of-contact for enterprise customer engineering needs and escalations Lead and participate in design reviews, code reviews, and critical incident responses Collaborate closely with the CTO on architectural decisions, scaling strategies, and technical roadmap prioritization Guide and mentor US-based engineers across multiple initiatives, helping them deliver high-quality, scalable systems Identify and drive technical debt cleanup, performance improvements, and resilience upgrades across the platform Bring a product engineering mindset, ensuring that customer needs and feedback translate into scalable engineering solutions Who You Are: 8+ years of strong backend / systems engineering experience at top technology companies or startups Deep expertise in distributed systems, cloud-native architectures, and scalable system design Strong working knowledge of Kubernetes, containerized workloads, and infrastructure engineering Practical experience building or deploying ML/GenAI applications (or closely working with ML/DS teams) Skilled in programming languages such as Python, Go, or typescript Solid understanding of system observability, resiliency design, and SRE practices Strong technical leadership and communication skills - able to work with both customers and engineering teams Ability to think strategically while also executing hands‑on when required Bonus: Experience supporting enterprise deployments of AI/ML infrastructure, model training, or inference systems Why Join TrueFoundry? Work directly with ex‑Facebook engineers and founders from IIT Kharagpur, UC Berkeley, and Y Combinator alumni. First‑hand exposure to building and scaling a deep‑tech startup-insights you'll carry if you want to start your own one day. Be part of a fearlessly experimental culture focused on customer success and long‑term impact. Flexible hours, learning credits, and the opportunity to work shoulder‑to‑shoulder with the co‑founders (Abhishek & Nikunj). #J-18808-Ljbffr

A leading tech startup in San Francisco is seeking a Principal Engineering Manager to lead a product engineering team. This role encompasses hiring, developing, and retaining exceptional engineers while executing on a dynamic roadmap. The ideal candidate has experience in scaling teams, is adept at problem-solving, and fosters an ownership culture. Benefits include competitive salary, equity ownership, comprehensive health coverage, and flexible time off. Join us to create a generational impact in voice technology. #J-18808-Ljbffr