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Location: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Sales Manager to join one of our clients ' Sales Department. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Job Description : Responsibilities : 1. Focus on the German market, deeply explore the needs of residential/commercial & industrial energy storage customers (such as electricity optimization for automobile factories, household PV-matched energy storage, and energy management for commercial parks), identify the core pain points of customers' project planning, formulate targeted solutions, and promote the conversion of needs into actual orders; at the same time, maintain relationships with core existing customers, and improve the repurchase rate and referral rate through regular demand follow-up visits. 2. Expand local brand agents in Germany, establish a hierarchical channel system (such as regional exclusive agents and industry-specific agents, covering scenarios like residential energy storage retail and commercial & industrial projects); formulate agent assessment standards and incentive policies (such as tiered sales rebates and market promotion subsidies), conduct regular product training and business reviews, enhance the professional capabilities and loyalty of channels, and ensure the steady growth of channel sales. 3. Develop local OEM customers in Germany (such as energy storage equipment assembly plants, PV system integrators, and smart home enterprises), negotiate customized cooperation models (such as exclusive product parameter development and joint brand packaging), expand the dimensions of the sales network, and quickly penetrate the German market with the help of local enterprise channels. 4. Conduct regular research on the German energy storage market, covering policies and regulations (such as the subsidy policy of Germany's Renewable Energy Sources Act and grid access standards), product demand trends (such as preferences for residential energy storage capacity and safety certification requirements for commercial & industrial energy storage), and competitor dynamics (such as channel layout, pricing strategies, and product selling points of competitors like Deye and Jinlang). Form a structured market analysis report and feed it back to the domestic headquarters to support product optimization and strategy adjustment. 5. Collaborate with the domestic technical and supply chain teams to customize energy storage solutions for German customers (such as backup power supplies for automobile factories and off-grid energy storage systems in rural areas); track the entire project execution process (contract signing, production scheduling, customs clearance logistics, and installation & commissioning), solve problems in cross-departmental collaboration and cross-regional delivery (such as supply chain delays and delayed after-sales responses), and ensure the efficient implementation of projects. 6. Lead business negotiations with German customers (on price, payment cycle, quality assurance clauses, and compliance requirements), and balance customer needs and company interests in line with the characteristics of German business culture (emphasis on details and compliance); establish long-term and stable customer relationships through offline visits and participation in industry exhibitions, and enhance the brand's recognition in the German market. 7. Assist in the post-execution phase of customer projects, take the lead in solving major after-sales problems (such as product failures and operation & maintenance needs), and promote the internal technical team to develop rapid solutions to ensure that customer satisfaction reaches a high level in the industry and reduce customer churn. 8. Other tasks: Complete other sales tasks related to the German market assigned by the European Regional Sales Director and the company's Vice President, and cooperate with cross-country business coordination in the European region (such as resource sharing and technical experience exchange). 1. Bachelor's degree or above, proficient in English reading, writing, and listening (able to use it as a working language); proficiency in German (the official language) is preferred, with the ability to independently conduct German business communication, contract interpretation, and local policy consultation, so as to adapt to the communication habits of German customers. 2. At least 2 years of overseas business experience in the new energy industry, with in-depth familiarity with energy storage products (residential/commercial & industrial), PV modules/inverters, lithium batteries, and system integration; candidates with energy storage business experience in Germany or German-speaking regions (Austria, Switzerland) are preferred. 3. Have successful experience in developing the German market business, familiar with the characteristics of the local new energy market (such as residential energy storage demand driven by high electricity prices and strict environmental compliance requirements) and competitive landscape; able to independently formulate regional sales strategies, with strong capabilities in market analysis, demand judgment, and risk avoidance. 4. Mature working methods, strong pressure resistance and execution ability, able to adapt to long-term residence in Germany and local cross-regional business trips; good professional ethics, meticulous and rigorous work attitude (in line with the German business emphasis on details), and outstanding learning ability, able to quickly adapt to the company's product characteristics and EU compliance requirements. Work Environment : 1. Detailed Address:-Overseas Address: Permanently based in Germany 2. Department: Sales Center (European Region) 3. Department Structure:-Global Sales Centers Distribution: Brazil (Latin America Operation Center), Vietnam/Pakistan (Asia-Pacific Core), Poland, the Netherlands (Western Europe Operation Center), Dubai (covering Africa).-Germany is a core strategic market in the European region (due to high electricity prices and strong demand for residential energy storage);-The current local team in Europe has approximately 10 people (distributed in Eastern European countries such as Poland and Romania);-A separate team has not yet been established in Germany. 4. Nationality/Background: Local German or Chinese 5. Language: Proficiency in English as a working language; proficiency in German is preferred

Location: Kingsport, United States; Greenville, United States Position Overview The Director of Sales & Marketing is a senior commercial leader responsible for driving new industrial construction opportunities across the company's core markets. This role requires a seasoned business developer with existing site-level industrial contacts , the ability to quickly generate traction in the first 6–12 months, and a strong understanding of direct-hire construction. This leader must operate as a hunter , not a strategist or overseer — someone who will actively pursue opportunities, initiate new site relationships, build trust, and open doors that translate into backlog for the company's high-performing project delivery teams. The Director plays a critical role in expanding the presence across TN, NC, SC, GA, AL, MS, and adjacent regions. Key Responsibilities Business Development & Market Expansion Proactively pursue new industrial construction work in chemical, power, pulp & paper, data centers, and general industrial markets. Leverage existing site-level relationships to generate immediate traction within the first 30–90 days. Identify, qualify, and develop new commercial opportunities within a 6-hour geographic radius of the company's offices. Build and maintain a robust pipeline aligned with the company's strategic and operational capabilities. Act as the face of the company in client meetings, plant visits, industry events, and networking engagements. Relationship Management Bring established, trusted industrial contacts — particularly at the site level , where decisions are increasingly made. Develop new relationships with target owners such as DuPont, Celanese , and other chemical plants where the company seeks deeper penetration. Collaborate with other Comfort Systems USA operating companies to pursue data center opportunities. Proposals & Commercial Execution Lead the development of proposals with strong writing, PowerPoint, and commercial package creation skills. Work collaboratively with internal SMEs (operations, preconstruction, leadership) to assemble winning proposals. Conduct first-pass contract reviews, redlines, and commercial assessments before legal review. Prepare client-facing materials, project pursuit plans, and presentation decks. Internal Leadership & Cross-Functional Collaboration Partner with operations leaders to ensure successful project delivery and alignment with client expectations. Contribute to strategic planning, go-to-market approaches, and market positioning. Help maintain the company's culture of hands-on leadership—everyone rolls up their sleeves and participates. Travel High, but regional. Must be within 1–2 hours of Kingsport or Greenville to minimize travel inefficiencies. Required Qualifications Experience 15+ years total industry experience for Director-level; 3–5+ years already functioning as a Director or VP in industrial construction BD/sales. Proven success selling direct-hire industrial construction (preferred), or strong crossover from CM/EPC industrial environments. Demonstrated ability to bring immediate, local contacts and produce traction in existing markets. Strong background in chemical, power, pulp & paper, industrial manufacturing, or related markets. Skills Exceptional hunter mentality; thrives on generating new business. Strong proposal writing, PowerPoint creation, and communication skills. Ability to review and redline construction contracts. Deep understanding of industrial construction execution. Self-driven, hands-on commercial leadership style. Competencies Stable career progression (no short tenures or job hopping). Entrepreneurial mindset with ability to influence change. Comfortable working in a non-bureaucratic, fast-moving environment. Ability to scale down from mega-project environments (e.g., Fluor, KBR) while still operating with discipline. Benefits Company vehicle + gas card Company phone or $55/month allowance Relocation assistance available (3–6 months expected move window) Full Comfort Systems USA benefits package Why Join: Opportunity to join a growing organization in a pivotal commercial leadership role. Ability to directly influence the trajectory and commercial strategy of a high-performing industrial contractor. Not a large bureaucratic EPC — flexible, entrepreneurial, and nimble. Strong project delivery teams ready to immediately execute sold work. Backing of a national powerhouse (Comfort Systems USA) without losing the feel of a local, agile company. High visibility and impact: your efforts immediately translate into organizational growth.

Location: Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, ​​​​​​​motor drive units,​​​​​​​ onboard processors, ​​​​​and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco; Toronto; New York; Montreal; Seattle 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 We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES Core Engineering Responsibilities - Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing - Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques - Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation - Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap - Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler - Collaborate with research teams to productionize theoretical advancements Impact & Collaboration - Contribute to internal and open-source GPU libraries - Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent) REQUIREMENTS - Strong understanding of GPU architecture and programming paradigms: - Memory hierarchy (global, shared, registers, L1/L2 cache) - Thread/block/grid organization - Synchronization techniques and race condition mitigation - Proficient in C++ and GPU performance profiling tools - Knowledge of: - CUDA C++ API - Memory access patterns and bandwidth optimization - Numerical precision and quantization strategies - Modern GPU features (e.g., tensor cores, async operations) NICE TO HAVE - Experience with Transformer models and attention optimization (e.g., Flash Attention) - Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB - Background in GEMM tuning and distributed/multi-GPU compute - Contributions to open-source GPU projects - Research publications or conference presentations on GPU performance 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: San Francisco, CA | New York City, NY | Seattle, WA 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 As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $850,000 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. 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: 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