\nThe Science & Technology Advisor, New York/Pennsylvania, is primarily responsible for accelerating the sales process and maximizing revenue for every sales opportunity in their territory. They will conduct sales and related sales support activities for all products and applications within the 10x Genomics portfolio. The STA is a highly technical position and requires in depth knowledge of all products and applications within the 10x Genomics portfolio. The STA expected to be a field technical expert. They will sell products to specified academic, government, private, and/or industrial accounts in an assigned territory: Incumbent will work from a remote location but must be located within the territory with a strong preference for ready access to a major airport.\n\nKey Responsibilities: \n\n\n* Partner closely with Sales Executives to generate, qualify, and close sales opportunities\n\n* Work with product management/R&D/applications/marketing and field sales to develop and disseminate content, strategy, collaborations, and go-to market activities\n\n* Maintain appropriate records and provides relevant information to help forecast business as needed\n\n* Gather, process, and disseminate competitive intelligence and market feedback both to field sales as well as internal product management colleagues\n\n* Provide weekly, monthly, and/or ad hoc business/activity reports as required\n\n* Coordinate and/or conducts both technical and promotional seminars, trade shows, vendor shows, and related activities as deemed necessary\n\n* Achieve assigned territory sales goals by calling on existing and potential new customers via field visits, email, telephone, video conference, etc\n\n* Work closely with sales executive counterparts to develop specific account growth, penetration, and support activities\n\n* Provide mentorship, training, and education to colleagues and/or customers as applicable \n\n\n\n\nMinimum Qualifications:  \n\n\n* Strong Oral and Written Communication skills including small and large group presentations\n\n* Master’s Degree in a relevant field of study\n\n* Experience with NGS, Immunology, Cell biology, Bioinformatics and Molecular biology via prior work experience and education\n\n* Ability to effectively network in and outside of the company\n\n* Ability to walk and or stand up to 8 hours a day, and travel to meet with customers\n\n* Organized, detail oriented and results driven\n\n* Proficient in using MS Office Suite (e.g. PowerPoint, Excel, Word)\n\n* Overnight travel up to 80% of the time based on territory\n\n* Valid driver’s license, acceptable motor vehicle, car insurance, and acceptable driving record\n\n\n\n\nPreferred Skills:\n\n\n* PhD in a relevant field of study\n\n* 4-6 years commercial experience (Sales, Marketing, Support) in life science research industry serving academic, industrial, hospital, government, biotech and/or biopharmaceutical accounts\n\n* Track record of success selling and negotiating\n\n* Deep and broad NGS experience\n\n* Single Cell & Spatial genomics experience\n\n* Multilingual skills desired\n\n* Experience using a CRM system (e.g. SFDC)\n\n\n\n\n \n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Travel, Video, Education and Sales jobs that are similar:\n\n $50,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nPennsylvania Furnace, Pennsylvania, United States

\nXilis, Inc. is an innovation-driven biotech company developing its proprietary MicroOrganoSphere (“MOS”) Technology for functional precision oncology. Xilis’ MOS Technology enables rapid and scalable generation of patient tumor models that retain patient-specific tumor biology and tumor microenvironment, representing one of the most translationally-relevant ex vivo technologies for precision oncology drug discovery and development. Located in Research Triangle Park, Durham, NC, Xilis is building a functional precision medicine platform that incorporates scaled multi-modal profiling of therapeutic activity and AI/ML-enabled analytics to catalyze functional precision medicine drug discovery, development and diagnostics. Collectively, Xilis aims to harness its MOS Platform to enable development of the most effective therapeutics and guide them to the right patients at the right time.\n\n\nThe candidate will be a member of the Device Engineering team and will be a key contributor to successfully growing our business. The Manufacturing Assembly Technician (contract) will follow assembly drawings, instructions, and bill of materials to assemble our primary instrument and produce related consumables used in its operation. This is a unique opportunity to apply skills and experience in a business that will revolutionize cancer patient care.\n\n\nWe are looking for an individual who has a strong mechanical assembly and wiring background to help build, test, and inspect Xilis’ primary instrument, along with manufacturing and assembly of custom instrument consumables. The instrument is a benchtop medical laboratory device built from over 1500 custom and off-the-shelf parts, and the wiring consists of crimping pins, soldering, and assembling connectors for dozens of custom cables. We work in a fast-paced environment and are continually improving the design and performance of systems. Participating in the development and advancement of our instrument by making suggestions and applying previous experience is encouraged and appreciated.\n\n\n***This is a 6-12 months contract opportunity***\n\n\n\nResponsbilities\n* Assemble instruments according to the assembly drawings and instructions, ensuring that parts and subassemblies are manufactured correctly and fit properly when putting the product together.\n* Manufacturing of instrument consumables through use of laser cutters and micro-CNC machines.\n\n\n* Ensure that parts and products meet quality standards by following established guidelines to measure, test and inspect the product assembled.\n* Test finished products for defects and perform installation quality checks.\n* Requisition parts and materials on the approved Bill of Materials for instrument assembly.\n* Manage inventory following established guidelines and procedures including labeling and locating parts, picking parts from appropriate locations in specified quantities to fill kits or bins, delivering parts to work areas, and recording and communicating inventory levels.\n* Maintain a clean and organized work area and maintain all equipment according to maintenance plans and established procedures.\n* Mechanical assembly of small components.\n* Examine connections for correct fit.\n* Familiarity with basic electronic assembly or previous experience is required.\n\n\n\nRequirements\n* High school diploma or general education degree (GED)\n* 4-6 years related experience and/or training assembling complex instruments (electronics, mechanical sub-assemblies, pneumatics or other); or equivalent combination of education and experience\n* Must have the ability to problem solve and troubleshoot problems both independently and as part of a team.\n* Follow technical instructions, interpret engineering blueprints and technical terms\n* Be a collaborative team member\n* Work independently with limited amount of supervision\n* Ability to create and maintain detailed and accurate documentation\n* Ability to lift 50lbs\n* Ability to stand for the majority of an 8 hour day\n\n\n\n\n\nXilis was created when its three founders — an engineer, a physician, and a biologist — decided to come together and commercialize their technology to transform cancer care. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Furthermore, even if your work experience isn't perfectly aligned with what we've described above, if you're excited about what we're building then we want to talk to you!\nXilis offers comprehensive health, vision, dental & retirement plans, and unlimited PTO. We are a remote-friendly team: our headquarters are in Durham, North Carolina, but we have team members across the US (and beyond!). \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design and Design jobs that are similar:\n\n $95,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDurham, NC

The Opportunity\n\nAt insitro, we are trying to greatly increase the success rate of drug development by combining human biology, lab automation, and machine learning, at scale.\n\nCentral to insitro's thesis is our ability to integrate rich datasets across modalities. From live cell imaging to single-cell RNA sequencing to DNA encoded libraries, insitro generates a diverse and ever growing torrent of data. Our team, Scientific Pipelines, develops the foundation of data pipelines that transform that torrent into the actionable datasets driving our target and drug discovery efforts.\n\nIn this role, you will work primarily with heterogenous, multimodal clinical datasets, and build tools to help characterize cellular and patient state, predict the effect of clinical interventions, and design more successful clinical trials. To achieve this, you'll partner directly with machine learning scientists, biologists, engineers, and clinicians to design and build a cohesive platform for data ingestion, transformation, and exploration.\n\nWe are open to both hybrid candidates local to the San Francisco Bay area and remote candidates for this role.\nWhat you'll do day to day:\n\n\n* Ship stuff that makes our scientists say "this is amazing, thank you so much!"\n\n* Collaborate cross-functionally with folks from our machine learning, automation, and biology groups\n\n* Directly shape our roadmap for empowering scientists\n\n* Shape our early-ish engineering culture with your ideas and experience\n\n* All the normal SWE stuff: write code, write and review design docs, talk to collaborators, and do code reviews\n\n* Ultimately you'll move the needle in a meaningful way for insitro and the field of medicine\n\n\n\nExamples of projects you will be working on:\n\n\n* Architecting components of our clinical data platform, spanning data ingestion, warehousing, and discovery\n\n* Building a data portal inspired by tools like HuBMAP and GDC, to make insitro's clinical data accessible to technical and nontechnical collaborators alike\n\n* Designing intuitive interfaces for visualizing and annotating radiology, digital pathology, and other high-content data and the insights that are derived from them\n\n* Embedding deeply with ML scientists, and helping them build multimodal models that map learned phenotypes to clinical outcomes\n\n\n\nIn return, we will support you by:\n\n\n* Placing a high degree of trust in your ideas and execution\n\n* Bringing you up to speed in the domain of drug development\n\n* Strive to provide a low-stress work environment\n\n* Making ourselves available for collaboration\n\n* Caring about you as a whole person - not a resource\n\n* Being a well funded startup with conservative runway\n\n\n\nAbout you:\n\n\n* You have 5+ years of experience as a professional software engineer with 3+ years of full stack web development experience.\n\n* You're eager to ship work, wherever it is on the stack, that makes a difference to scientists and ultimately patients\n\n* You have a track record of turning ideas into maintainable and user-centric software products\n\n* You feel comfortable reasoning about the tradeoffs between quality and speed when building in a startup environment\n\n* You're familiar with the usual SWE things: AWS (or GCP/Azure), relational databases, writing design docs, version control, doing code reviews, perfecting our slackmoji game\n\n* As a bonus, you have:\n\n\n* Experience navigating the regulatory landscape of drug development and a strong understanding of data privacy in clinical and genomic research\n\n* Experience with medium sized (100TB+) cellular or clinical datasets such as sequencing or histopathology\n\n* Experience with electronic medical records\n\n* Experience with data and machine learning pipelines\n\n* Experience with our stack: Python, Javascript/Typescript, React, SQLAlchemy, PostgreSQL, Docker, AWS\n\n\n\n\n\n\n\n\n \nCompensation & Benefits at insitro\n\nOur target starting salary for successful US-based applicants for this role is $180,000 - $230,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.\n\nThis role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.\n\n \n\nIn addition, insitro also provides our employees:\n\n\n* 401(k) plan with employer matching for contributions\n\n* Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support\n\n* Open, flexible vacation policy\n\n* Paid parental leave\n\n* Quarterly budget for books and online courses for self-development\n\n* Support to occasionally attend professional conferences that are meaningful to your career growth and development\n\n* New hire stipend for home office setup\n\n* Monthly cell phone & internet stipend\n\n* Access to free onsite baristas and cafe with daily lunch and breakfast\n\n* Access to free onsite fitness center\n\n* Commuter benefits\n\n\n\n\n \n\ninsitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\nWe believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Education, Senior and Engineer jobs that are similar:\n\n $57,500 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe Opportunity\n\nThe Chan Zuckerberg Biohub Network has an immediate opening for an AI/ML High Performance Computing (HPC) Principal Engineer.  The CZ Biohub Network is composed of several new institutes that the Chan Zuckerberg Initiative created to do great science that cannot be done in conventional environments.  The CZ Biohub Network brings together researchers from across disciplines to pursue audacious, important scientific challenges. The Network consists of four institutes throughout the country; San Francisco, Silicon Valley, Chicago and New York City.  Each institute closely collaborates with the major universities in its local area.  Along with the world-class engineering team at the Chan Zuckerberg Initiative, the CZ Biohub supports several 100 of the brightest, boldest engineers, data scientists, and biomedical researchers in the country, with the mission of understanding the mysteries of the cell and how cells interact within systems.\n\nThe Biohub is expanding its global scientific leadership, particularly in the area of AI/ML, with the acquisition of the largest GPU cluster dedicated to AI for biology. The AI/ML HPC Principal Engineer will be tasked with helping to realize the full potential of this capability in addition to providing advanced computing capabilities and consulting support to science and technical programs. This position will work closely with many different science teams simultaneously to translate experimental descriptions into software and hardware requirements and across all phases of the scientific lifecycle, including data ingest, analysis, management and storage, computation, authentication, tool development and many other computing needs expressed by scientific projects.\n\nThis position reports to the Director for Scientific Computing and will be hired at a level commensurate with the skills, knowledge, and abilities of the successful candidate.\n\nWhat You'll Do\n\n\n* Work with a wide community of scientific disciplinary experts to identify emerging and essential information technology needs and translate those needs into information technology requirements\n\n* Build an on-prem HPC infrastructure supplemented with cloud computing to support the expanding IT needs of the Biohub\n\n* Support the efficiency and effectiveness of capabilities for data ingest, data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects\n\n* Plan, organize, track and execute projects\n\n* Foster cross-domain community and knowledge-sharing between science teams with similar IT challenges\n\n* Research, evaluate and implement new technologies on a wide range of scientific compute, storage, networking, and data analytics capabilities\n\n* Promote and assist researchers with the use of Cloud Compute Services (AWS, GCP primarily) containerization tools, etc. to scientific clients and research groups\n\n* Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors\n\n* Assist in cost & schedule estimation for the IT needs of scientists, as part of supporting architecture development and scientific program execution\n\n* Support Machine Learning capability growth at the CZ Biohub\n\n* Provide scientist support in deployment and maintenance of developed tools\n\n* Plan and execute all above responsibilities independently with minimal intervention\n\n\n\n\nWhat You'll Bring \n\nEssential –\n\n\n* Bachelor’s Degree in Biology or Life Sciences is preferred. Degrees in Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience also acceptable.\n\n* A minimum of 8 years of experience designing and building web-based working projects using modern languages, tools, and frameworks\n\n* Experience building on-prem HPC infrastructure and capacity planning\n\n* Experience and expertise working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors\n\n* Experience supporting scientific facilities, and prior knowledge of scientific user needs, program management, data management planning or lab-bench IT needs\n\n* Experience with HPC and cloud computing environments\n\n* Ability to interact with a variety of technical and scientific personnel with varied academic backgrounds\n\n* Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings\n\n* Demonstrated ability to reason clearly about load, latency, bandwidth, performance, reliability, and cost and make sound engineering decisions balancing them\n\n* Demonstrated ability to quickly and creatively implement novel solutions and ideas\n\n\n\n\nTechnical experience includes - \n\n\n* Proven ability to analyze, troubleshoot, and resolve complex problems that arise in the HPC production compute, interconnect, storage hardware, software systems, storage subsystems\n\n* Configuring and administering parallel, network attached storage (Lustre, GPFS on ESS, NFS, Ceph) and storage subsystems (e.g. IBM, NetApp, DataDirect Network, LSI, VAST, etc.)\n\n* Installing, configuring, and maintaining job management tools (such as SLURM, Moab, TORQUE, PBS, etc.) and implementing fairshare, node sharing, backfill etc.. for compute and GPUs\n\n* Red Hat Enterprise Linux, CentOS, or derivatives and Linux services and technologies like dnsmasq, systemd, LDAP, PAM, sssd, OpenSSH, cgroups\n\n* Scripting languages (including Bash, Python, or Perl)\n\n* OpenACC, nvhpc, understanding of cuda driver compatibility issues\n\n* Virtualization (ESXi or KVM/libvirt), containerization (Docker or Singularity), configuration management and automation (tools like xCAT, Puppet, kickstart) and orchestration (Kubernetes, docker-compose, CloudFormation, Terraform.)\n\n* High performance networking technologies (Ethernet and Infiniband) and hardware (Mellanox and Juniper)\n\n* Configuring, installing, tuning and maintaining scientific application software (Modules, SPACK)\n\n* Familiarity with source control tools (Git or SVN)\n\n* Experience with supporting use of popular ML frameworks such as Pytorch, Tensorflow\n\n* Familiarity with cybersecurity tools, methodologies, and best practices for protecting systems used for science\n\n* Experience with movement, storage, backup and archive of large scale data\n\n\n\n\nNice to have - \n\n\n* An advanced degree is strongly desired\n\n\n\n\nThe Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.\n\nCompensation \n\n\n* $212,000 - $291,500\n\n\n\n\nNew hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Your recruiter can share more about the specific pay range during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Consulting, Education, Cloud, Node, Engineer and Linux jobs that are similar:\n\n $57,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nThe Opportunity\n\nThe Chan Zuckerberg Biohub has an immediate opening for a High Performance Computing (HPC) Principal Engineer. The CZ Biohub is a one-of-a-kind independent non-profit research institute that brings together three leading universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. Along with the world-class engineering team at the Chan Zuckerberg Initiative, the CZ Biohub supports over 100 of the brightest, boldest engineers, data scientists, and biomedical researchers in the Bay Area, with the mission of understanding the underlying mechanisms of disease through the development of tools and technologies and the application to therapeutics and diagnostics.\n\nThis position will be tasked with strengthening and expanding the scientific computational capacity to further the Biohub’s expanding global scientific leadership. The HPC Principal Engineer will also provide IT capabilities and consulting support to science and technical programs. This position will work closely with many different science teams simultaneously to translate experimental descriptions into software and hardware requirements and across all phases of the scientific lifecycle, including data ingest, analysis, management and storage, computation, authentication, tool development and many other IT needs expressed by scientific projects.\n\nThis position reports to the Director for Scientific Computing and will be hired at a level commensurate with the skills, knowledge, and abilities of the successful candidate.\n\nWhat You'll Do\n\n\n* Work with a wide community of scientific disciplinary experts to identify emerging and essential information technology needs and translate those needs into information technology requirements\n\n* Build an on-prem HPC infrastructure supplemented with cloud computing to support the expanding IT needs of the Biohub\n\n* Support the efficiency and effectiveness of capabilities for data ingest, data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects\n\n* Plan, organize, track and execute projects\n\n* Foster cross-domain community and knowledge-sharing between science teams with similar IT challenges\n\n* Research, evaluate and implement new technologies on a wide range of scientific compute, storage, networking, and data analytics capabilities\n\n* Promote and assist researchers with the use of Cloud Compute Services (AWS, GCP primarily) containerization tools, etc. to scientific clients and research groups\n\n* Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors\n\n* Assist in cost & schedule estimation for the IT needs of scientists, as part of supporting architecture development and scientific program execution\n\n* Support Machine Learning capability growth at the CZ Biohub\n\n* Provide scientist support in deployment and maintenance of developed tools\n\n* Plan and execute all above responsibilities independently with minimal intervention\n\n\n\n\nWhat You'll Bring \n\nEssential –\n\n\n* Bachelor’s Degree in Biology or Life Sciences is preferred. Degrees in Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience also acceptable. An advanced degree is strongly desired.\n\n* A minimum of 8 years of experience designing and building web-based working projects using modern languages, tools, and frameworks\n\n* Experience building on-prem HPC infrastructure and capacity planning\n\n* Experience and expertise working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors\n\n* Experience supporting scientific facilities, and prior knowledge of scientific user needs, program management, data management planning or lab-bench IT needs\n\n* Experience with HPC and cloud computing environments\n\n* Ability to interact with a variety of technical and scientific personnel with varied academic backgrounds\n\n* Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings\n\n* Demonstrated ability to reason clearly about load, latency, bandwidth, performance, reliability, and cost and make sound engineering decisions balancing them\n\n* Demonstrated ability to quickly and creatively to implement novel solutions and ideas\n\n\n\n\nTechnical experience includes - \n\n\n* Proven ability to analyze, troubleshoot, and resolve complex problems that arise in the HPC production storage hardware, software systems, storage networks and systems\n\n* Configuring and administering parallel, network attached storage (Lustre, NFS, ESS, Ceph) and storage subsystems (e.g. IBM, NetApp, DataDirect Network, LSI, etc.)\n\n* Installing, configuring, and maintaining job management tools (such as SLURM, Moab, TORQUE, PBS, etc.)\nRed Hat Enterprise Linux, CentOS, or derivatives and Linux services and technologies like dnsmasq, systemd, LDAP, PAM, sssd, OpenSSH, cgroups\n\n* Scripting languages (including Bash, Python, or Perl)\n\n* Virtualization (ESXi or KVM/libvirt), containerization (Docker or Singularity), configuration management and automation (tools like xCAT, Puppet, kickstart) and orchestration (Kubernetes, docker-compose, CloudFormation, Terraform.)\n\n* High performance networking technologies (Ethernet and Infiniband) and hardware (Mellanox and Juniper)\n\n* Configuring, installing, tuning and maintaining scientific application software\n\n* Familiarity with source control tools (Git or SVN)\n\n\n\n\nThe Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.\n\nCompensation \n\n\n* Principal Engineer  = $212,000 - $291,500\n\n\n\n\nNew hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Your recruiter can share more about the specific pay range during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Consulting, Education, Cloud, Engineer and Linux jobs that are similar:\n\n $50,000 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States