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Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems. A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion. We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/ - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs. - Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models). - Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda. - Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence. - Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems. - Mentor junior researchers and shape the technical direction of the research organization as it grows. PREFERRED QUALIFICATIONS - Master’s or PhD research depth in machine learning, with first-author publications at top venues - Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work - Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built - Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years - Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology) - Track record of open-source contributions or community building in ML research OUR VIEW ON TALENT Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US About the Role Security at Cloudflare is a focused team committed to helping secure both Cloudflare and our customers. The Threat Detection Automation and Intelligence Team is responsible for identifying, understanding and detecting threats to Cloudflare. We are seeking an experienced Threat Intelligence Engineer with experience with machine learning data science to join our proactive security team. This role is a critical blend of two disciplines: leveraging Threat Intelligence (TI) to understand the adversary, and then applying advanced Machine Learning and engineering principles to rapidly and effectively defend our organization. The ideal candidate will transform raw threat data into actionable security measures and automated defenses, significantly reducing our mean time to detect (MTTD) and mean time to respond (MTTR) to sophisticated cyber threats. Responsibilities Intelligence Collection & Analysis: Proactively research, collect, and analyze threat intelligence from various sources (OSINT, commercial feeds, dark web, and internal security events) to understand the current and emerging threat landscape. Machine Learning and Data Science: Design, implement, and maintain detection use cases for the entire machine learning lifecycle (data ingestion, training, deployment, and inference). Threat Actor Profiling: Develop detailed profiles of relevant threat actors, their Tactics, Techniques, and Procedures (TTPs) using frameworks like MITRE ATT&CK , and identify potential impacts to the organization. Actionable Intelligence Dissemination: Produce and disseminate timely, relevant, and actionable intelligence reports and briefings for both technical security teams and executive leadership. IOC/IOA Management: Engineer the ingestion, enrichment, correlation, and contextualization of Indicators of Compromise (IOCs) and Indicators of Attack (IOAs) into security platforms. Automated Defense Development: Design, develop, and implement robust automation workflows and playbooks (SOAR) to streamline security operations tasks, including incident triage, alert enrichment, vulnerability management, and threat response actions. Tool Integration & Optimization: Integrate diverse security tools (e.g., SIEM, EDR, Cloud Security Posture Management, vulnerability scanners, Threat Intelligence Platforms) through APIs and scripting (primarily Python) to create seamless, automated feedback loops. Process Improvement: Identify manual, repetitive, and time-consuming security processes and engineer scalable automation solutions to increase team efficiency and operational maturity. Incident Response Support: Provide threat context  to support the Incident Response team during active security incidents. Cross-Functional Partnership: Collaborate with Detection Engineers, Security Engineers, and Software Developers to embed security and intelligence-driven practices into the CI/CD pipeline and corporate infrastructure. Desirable Skills, Knowledge, and Experience Understanding of attacker Tools, Techniques and Procedures (TTPs) Understanding of attack components Experience threat hunting in a complex network The ability to read an attack brief or vulnerability report and contextualize the associated risk Experience validating vulnerability reports and providing impact analysis Experience performing data gathering and analysis on perceived threats; generating additional contextual data that can be operationalized Experience with common tools used within Security Operations Experience utilizing security event information in intelligence analysis Ability to navigate ambiguity, and provide clarity to complex situations Ability to work autonomously with a strong sense of urgency, ownership and self drive Ability to build partnerships and get results across many different stakeholders Ability to effectively communicate, both verbal and written, to stakeholders regarding relative risk, urgency, and feedback Highly qualified candidates will have an understanding of nation state motivations and operational capabilities Experience with Infrastructure-as-Code (IaC) tools like Terraform. Familiarity with data analysis and visualization tools for threat intelligence Experience with malware analysis and reverse engineering to extract actionable indicators. Experience: 4+ years of hands-on experience in a Security Engineering, Cyber Threat Intelligence, or Security Automation role. Programming: Strong proficiency in at least one scripting/programming language for automation (e.g., Python ). Security Concepts: Deep understanding of the cyber kill chain, threat actor TTPs, common attack vectors, networking protocols, and operating system internals. Automation Expertise: Proven experience designing and implementing SOAR playbooks and integrating security tools via APIs. Intelligence Tools: Experience working with commercial and open-source Threat Intelligence Platforms (TIPs) and threat feeds. Cloud Security: Familiarity with security services and automation in major cloud environments (AWS, Azure, or GCP). Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits ● Medical/Rx Insurance ● Dental Insurance ● Vision Insurance ● Flexible Spending Accounts ● Commuter Spending Accounts ● Fertility & Family Forming Benefits ● On-demand mental health support and Employee Assistance Program ● Global Travel Medical Insurance Financial Benefits ● Short and Long Term Disability Insurance ● Life & Accident Insurance ● 401(k) Retirement Savings Plan ● Employee Stock Participation Plan Time Off ● Flexible paid time off covering vacation and sick leave ● Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paphos, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you looking to join an amazing team of passionate and driven individuals in a rapidly growing business in Cyprus? Then we would love to talk! We love what we do, and we are looking for people that will share the same passion for growing our business! Role background We are searching for both full-time Grocery Associates to join our awesome team to our store in Paphos! In this role you are right in the heart of our day-to-day dark store operations. Our store is open 7 days a week, so this role also requires you to be able to work on weekends and in different shifts. You will be working from our market located in Paphos. If you are a team player, enjoy working independently, and have a good sense of humor, then you might be just the person we are looking for! What you'll be doing Taking in orders through our Merchant app Packing groceries & handing them to customers and couriers Managing inventory Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week, from 7:30 to 00:00. We require flexibility to work across all our working hours, including weekends and public holidays Experience from working in a grocery store is an advantage! You have a full professional proficiency in English. Greek is a plus! You have the right to work in Cyprus What you’ll get by joining us Attractive salary package and thirteen salaries per year 21 days of paid leave per year Wolt credits cashback benefit Employee assistance program Excellent working environment Wolt-wide training programs and career development opportunities Fruits and drinks at the Wolt Market Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Zagreb, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Tražiš dinamičan posao u inovativnoj trgovini bez blagajne i bez direktnog kontakta s kupcima? 🚀 Pridruži se našem timu Wolt Marketa u Zagrebu i budi dio budućnosti maloprodaje! Očekuje te rad u Wolt Marketima (dark store) gdje pripremaš online narudžbe i pomažeš da kupci dobiju proizvode brzo i točno. 📌 Što ćeš raditi? ✅ Obrada online narudžbi putem aplikacije 📲 ✅ Zaprimanje i skladištenje robe 🏪 ✅ Održavanje točnosti zaliha i označavanje proizvoda 🔄 ✅ Održavanje radnog prostora i praćenje HACCP standarda 🛒 ✅ Rad u timu i brza komunikacija 📢 👌 Što tražimo? 🔹 Odlične organizacijske vještine i preciznost 🔹 Brzinu, snalažljivost i sposobnost rješavanja više zadataka odjednom 🔹 Dobro razumijevanje korisničkog iskustva 🔹 Otvorenost za rad u digitalnim aplikacijama 🔹 Poželjno iskustvo u sličnom poslu ili iskustvo rada u trgovini 🔹 Minimalno srednja stručna sprema 🔹 Poznavanje hrvatskog i engleskog jezika 🎁 Što ti nudimo? 💰 Početna bruto plaća je 1.388,40 €, plus 50% dodataka za noćne i vikend smjene, a što duže ostaneš s nama, to će i tvoja plaća rasti! 🚀 🍽️ Naknada za prehranu 🚆 Pokriveni troškovi javnog prijevoza (do 110 €) 📈 Mogućnost napredovanja na Shift Lead poziciju 🏖️ Minimalno 25 dana godišnjeg odmora + dodatni plaćeni dani 🏋️ Mogućnost korištenja PassSport programa 🎄 Božićnica + ostali benefiti iz kolektivnog ugovora za trgovine 📚 Strukturirano mentoriranje i obuka od 3 tjedna 🎉 Timska druženja i odlična radna atmosfera ⏰ Radno vrijeme 📆 5-dnevni radni tjedan, s mogućnošću povezivanja slobodnih dana 🕗 Smjenski rad (jutarnja i popodnevna smjena) 🚫 Ne radimo blagdanima! 🎓 Kako izgleda uvođenje u posao? 📌 Prva 3 tjedna radit ćeš uz trenera u stvarnom okruženju 📌 Mentorstvo od strane Team Leada 📌 Edukacije, treninzi i radionice za usavršavanje vještina 🔵 Zainteresiran/a? Prijavi se odmah! 💾 Molimo priloži životopis u PDF formatu. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We have created a new career path at Canonical for Performance Engineers who bring exceptional clarity to software performance, correctness and efficiency. We are adding these roles to every engineering team at the company. As an open source platform, we have teams that work at every level of the software stack - from the kernel up through server and desktop applications, all the way to the web. We are adding roles with this focus in every engineering team in the company, to act as drivers of performance engineering skills, tools, culture and insights to our entire product range . We have also created a central performance engineering team, where we will drive shared tools, dashboarding capabilities, measurement frameworks, analytical capabilities and skills. We call this career focus ' percorr ' because we have found that the same deep insights that enable sophisticated performance measurement and design also enable teams to improve their harnesses and frameworks for correctness. Understanding not only the application, but the runtime, the compiler, and the system, all the way down to the CPU, gives an engineer the ability to think creatively and with insight about the right things to measure, and the right ways to verify correctness. We have found that performance engineers will often improve the deepest and trickiest areas of our test harnesses, and unblock their teams to test and measure previously 'dark' aspects of their work. We also have teams that work with every major silicon vendor and cloud, with a particular emphasis on performance optimisation of the entire stack for that architecture, CPU family or hypervisor. Our goal is to ensure that Ubuntu users can select whatever platform they want for their workloads and know they have access to the very best performance and efficiency across the entire stack from kernel to codec. If they wish, we will enable performance and correctness engineers to move between products every two years, so that they have the opportunity to raise the bar for performance in an array of products over time, and also that teams have the benefit of fresh eyes on their processes, thinking, harnesses, dashboards and code. Our performance and correctness leads are expected to be truly exceptional individuals, and also leaders who are confident setting expectations of change, sharing insights and skills, running initiatives and programs. There is no way to move a meaningful codebase without also moving the people behind it. This is a career path for perfectionists and precision artists. Whether you have a particular language focus - C, C++, Rust, Golang, Python, Java, Flutter-Dart or others - or a particular love of the kernel or hardware or CPU instruction set, whether you see yourself as driving perceived user experience through performance or optimising the efficiency of data centers to reduce carbon footprint, this process is the best way to find a role at Canonical that speaks to your precision, rigour, insight and drive. Location : We have teams in every time zone, and can accommodate applications from almost any country. Nice-to-have skills we value Low-level CPU insights and assembly language - understanding cache, registers, vectorization, memory Kernel performance insights - scheduling, context switching, hardware acceleration Distributed systems performance insights - tracing, debugging Compiler level performance insights - profile guided optimization, inlining, assembler Runtime performance insights - Golang, Python, JVM, NodeJS Database performance evaluation - plans, indexing, data modelling, tracing, monitoring Web browser performance insights - JS, web frameworks, tracing, CSS Performance measurement tooling - profiling, eBPF, D-Trace, flamegraphs Benchmarks and performance measurement tools - Phoronix Test Suite, others Test harnesses and capabilities in C, C++, Rust, Python, Golang, NodeJS, JavaScript The role entails Drive software performance and correctness in a specific project Collaborate with colleagues and community around the globe Work on shared tools and infrastructure for performance measurement, analysis and reporting Teach, train and develop skills in your team for performance culture and design Strengthen test capabilities, harnesses and pipelines Analyze systems and code to understand performance and scalability Solve problems directly or through influence, leadership and skills development Review code and technical designs What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in Computer Science, Mathematics or Physics Demonstrable personal initiatives to measure and improve performance, efficiency and correctness in code Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Leadership and commitment to skills development and mentorship Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote