Department Head of Scientific Computing Systems

SLAC National Accelerator Laboratory
Menlo Park, California, United States (On-Site)


Would you like to deliver innovative scientific computing capabilities that enable groundbreaking research? We need a skilled manager that can drive a talented team and achieve common goals, tightly aligned to the science facilities’ requirements. You must bring a passion for research and use your past experience in running production data analysis pipelines and workflows. You’ll form strong collaborations across our science community and ensure your team’s efforts result in a great end-user experience through resilient, capable platforms and solutions. You’ll gain recognition and respect as a trusted partner for SLAC science.

SLAC is one of the world’s premier research laboratories, with internationally leading capabilities in photon science, accelerator physics, high energy physics (HEP), and energy sciences. The Controls & Data Systems (CDS) Division in the Technology Innovation Directorate (TID) is involved in many national and international projects, which, among others, include the Rubin Observatory, the Linac Coherent Light Source (LCLS) user facility, CryoEM user facilities, the LHC ATLAS detector at CERN, and accelerator controls for LCLS-II.

Your team is responsible for designing, deploying, maintaining, and monitoring the large-scale scientific computing infrastructure that supports SLAC’s data analysis and Machine Learning capabilities. We store hundreds of petabytes on our scalable storage clusters with network speeds that will reach multiple terabits per second. Thousands of scientists worldwide rely on these systems to perform their research activities.

Given the nature of this position, SLAC is open to on-site and hybrid work options.

Your specific responsibilities will be to:

  • Manage our technical scientific computing leads. They include applications, storage, and HPC experts. They are skilled at integrating and scaling their technologies. Their environment is highly collaborative and they have strong relationships with the user community
  • Track the health of critical science pipelines and workflows that depend on our infrastructure. Track the dependencies, bottlenecks, and hurdles that must be addressed to achieve operational excellence
  • Interface with the Science leadership through our Steering Committee. Gather feedback on the user experience of our solutions and demonstrate empathy and responsiveness to operational issues
  • Set department goals and priorities that align with the science requirements
  • Create timely and constructive talent development plans for your staff – Identify gaps in skillsets and make training recommendations
  • Assess staffing levels and contribute to a recruitment plan. The department must be equipped to support critical 24/7 data pipelines
  • Drive end-user support, documentation, incident management, and emergency escalations process
  • Foster an open culture of diversity, respect, and innovation

To be successful in this position you will bring:

  • Bachelor’s degree in physics computer sciences, or related field and 8 years of relevant experience, or a combination of education and relevant experience
  • Experience managing technical teams, establishing shared goals and priorities
  • Experience coordinating production analysis pipeline(s) or workflow(s)
  • Ability to effectively engage science leaders, science users, and business managers
  • Experience with shared HPC environments at research or supercomputing institutes
  • Ability to develop and maintain user support models and documentation
  • Excellent organizational and communication skills
  • Familiarity with distributed compute and storage systems, high-performance computing systems, and networking
  • Ability and willingness to learn and promote best practices
  • Understanding of core IT services and scientific applications

In addition, preferred requirements include:

  • Master’s degree or Ph.D. in physics or a related field.
  • Experience as a user of HPC systems.

SLAC Manager Competencies:

  • Results through Others: Achieves expected results by effectively delegating and managing the work of others.
  • Aligns Priorities: Ensures planning and prioritization of resources and work efforts; ensures alignment of direct and matrix reports to support organizational goals and business plans.
  • Applies Lab Acumen: Maintains understanding of lab efforts and direction as well as current research and trends, considers technology and customer impacts, and contributes relevant, informed ideas to lab growth.
  • Navigates Complexity: Manages a multitude of information and complex circumstances to discern what is most important; demonstrates effective problem-solving, decision-making, and takes appropriate action, even in difficult situations or with conflicting data.
  • Builds Trust: Earns trust and credibility from team members, peers and stakeholders; demonstrates SLAC values of respect and integrity.
  • Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve team, department/directorate and lab goals.
  • Communication: Ensures effective information flow to various audiences; delivers clear and appropriate written and verbal communications; makes clear and impactful presentations to a variety of internal and external audiences.
  • Self-Awareness: Seeks feedback from others and takes ownership of, and actions to address what is learned; recognizes impact on others and adjusts as needed; pursues continuous learning opportunities; implements a meaningful development plan.
  • Team Effectiveness: Effectively motivates team members and fosters a diverse and collaborative team environment; leverages team members’ strengths for overall team effectiveness; incorporates insights to improve team operations.
  • Purpose & Vision: Articulates a clear vision of expected outcomes; inspires others to execute work plans and feel a sense of purpose and ownership for the mission.

Physical Requirements and Working Conditions:

  • You are expected to reside locally and work onsite 1-3 days a week
  • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. May work extended hours during peak business cycles.

Work Standards:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned.  Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1—General Policy and Responsibilities:
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide,

As an organization that receives federal funding, SLAC and Stanford University have a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit

Job Information

  • Job ID: 68972642
  • Workplace Type: On-Site
  • Location:
    Menlo Park, California, United States
  • Company Name For Job: SLAC National Accelerator Laboratory
  • Position Title: Department Head of Scientific Computing Systems
  • Job Function: Other
  • Job Type: Full-Time
  • Salary: $177,000.00 – $205,000.00 (Yearly Salary)


Lead Software Engineer

Wells Fargo
Concord, California, United States (On-Site)


About this role:
Wells Fargo is seeking a Lead Software Engineer as part of the Technology for Chief Operating Office that will be supporting the Core Engineering and Data team. The Lead Software Engineer should be able to act as a technical expert, analyze business requirements and work collaboratively with other IT team members within the organization.

In this role, you will:

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor

Required Qualifications, US:

  • 5+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of Java, Java EE experience
  • 3+ years of Tomcat development or implementation experience
  • 3+ years of RESTful or SOAP web services
  • 3+ years of experience with Spring, Spring Batch, and Spring Boot
  • 3+ years of SQL experience
  • 3+ years of experience with Software Development Life Cycle (SDLC) tools
  • 2+ years of JIRA experience
  • 3+ years of Agile experience
  • 2 + years of experience with server administration and job creation using Jenkins Continuous Integration server

Desired Qualifications:

  • Experience leading a microservice-based project.
  • SOA (Services Oriented Architecture) experience
  • Kafka Events experience
  • API web-based programming experience
  • Cloud experience using Dockers, Kubernetes in Azure is a plus
  • Middleware development experience is a plus.
  • Ability to form a story through data analysis.
  • Ability to execute tactical deliverables quickly and accurately.
  • Ability to take initiative, identify opportunities and implement change
  • Good analytical and quantitative skills
  • Knowledge and understanding of data management concepts, process, tools, and environments.
  • Knowledge and understanding of operational processes
  • Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers.
  • Cloud computing experience

Pay Range
$133,300.00 – $237,100.00 Annual Benefits

  • Information about Wells Fargo’s employee benefits

We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Information

  • Job ID: 69176123
  • Workplace Type: On-Site
  • Location:
    Concord, California, United States
  • Position Title: Lead Software Engineer
  • Company Name For Job: Wells Fargo
  • Job Function: Other


Hardware Test Engineer

Fremont, California, United States (On-Site)


At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow’s reality. Find out more about the Digital world of Siemens here:

The Test Engineer will be a member of the HAV Operations team with responsibilities for the test and validation of the board and chassis level testing of Siemens Hardware products for Emulation and Prototyping systems. This will require close cooperation with the hardware design and factory test teams to develop efficient test across board and system level test processes.

In this role, you will:


  • Develop assembly and test methodologies/plans for Siemens range of hardware products thru NPI and production phases
  • Ensure accurate manufacturing and validation test coverage for Siemens Hardware by collecting design gaps in the development phase and screening out manufacturing assembly defects before they are shipped.
  • Collaborate with HW/FW/SW teams to participate in design reviews, define functional test coverage, pass/fail criteria, manufacturing test features and system level test requirements.
  • Develop test methodology and specifications to verify and validate HW designs against functional, performance and reliability requirements, in both development and production environments.
  • Ability to lead and drive projects to closure
  • Ability to code for bug-fixes, delivering optimizations to quickly enable testing, developing wrappers around binary images as needed
  • Early engagement with cross functional development teams to drive DFT requirements
  • Research into test/validation technologies to support efficient production level testing
  • Work with design teams to develop test plans for PCBA at board and system level
  • Ability to debug technologies for PCBA, Fiber Optics, Fireflies, High-Speed Interconnects, PCIe and Power electronics subsystems
  • Development experience with automation frameworks using Python, PERL or Shell to create efficient and operator friendly test interface
  • Develop test fixtures or perform DOE for custom hardware
  • Experience in failure analysis and troubleshooting hardware in a laboratory environment
  • Report and quantify test and yield data for production monitoring
  • Maintain factory test and network infrastructure to support high volume production across various manufacturing sites
  • Must be flexible to work in dynamic fast paced environment
  • Able to lift or move 25 lbs hardware as needed

Required Knowledge/Skills, Education, and Experience

  • Masters or Bachelor’s degree in Electrical Engineering, Computer engineering or Computer Science, related filed or equivalent experience
  • 5+ years of overall experience in PCBA production testing and System Integration Testing
  • Experience with test automation development using Python or shell
  • Travel overseas to support factory requirements (estimated 10%)
  • Experience working in data center and networking environment Experience with Linux systems and deployment, build root images
  • Understanding of networking fundamentals in PCIe, Ethernet, and TCP/IP.
  • Familiar with common lab equipment such as: Power Supplies, Oscilloscopes, Signal Generators, DMMs, Logic Analyzers, etc

Preferred Knowledge/Skills, Education, and Experience

  • Preferred Master in Electrical Engineering or Computer Engineering (if applicable)
  • Preferred 3+ years of manufacturing experience for data center products in Linux environment
  • Understanding of networking fundamentals in PCIe, Ethernet, and TCP/IP.
  • Familiar with common lab equipment such as: Power Supplies, Oscilloscopes, Signal Generators, DMMs, Logic Analyzers, etc
  • Scripting Languages Python, PERL or bash Shell.

The salary range for this position is $95,800 to $172,400 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).




#SWSaaS (SaaS Transformation Posting)


Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

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Job Information

  • Job ID: 69247364
  • Workplace Type: On-Site
  • Location:
    Fremont, California, United States
  • Position Title: Hardware Test Engineer
  • Company Name For Job: Siemens
  • Job Function: Other
  • Job Type: Full-Time


Assistant Professor

UC Berkeley School of Optometry
Berkeley, California, United States (On-Site)


The Herbert Wertheim School of Optometry and Vision Science at the University of California, Berkeley seeks diverse applicants for a tenure-track faculty position at the Assistant Professor rank in vision research.  Candidates should have a PhD, OD, MD, or equivalent international degree(s). Preference will be given to candidates with both research and clinical training.  The successful applicant will demonstrate potential for exceptional clinical and basic research achievements as well as excellence in teaching in both the professional (Doctor of Optometry) and graduate (PhD program in Vision Science) curricula. Applicants should have the potential to establish strong collaborations at the local, national, and global level.

The negotiable start date is January 1, 2024 or July 1, 2024.

Our goal is to recruit an outstanding colleague with strong interests in any area that pertains to basic and clinical vision science, including but not limited to bioinformatic approaches, computational modeling, visual optics, psychophysics, visual neuroscience, ocular disease and/or diagnostics, and the application of data science to the visual system.

UC Berkeley recognizes the intrinsic relationship between diversity and excellence in all our endeavors. The school embraces open and equitable access to opportunities for learning and development as our obligation and goal. The school has a strong commitment to maintaining a diverse and inclusive faculty. We seek candidates who demonstrate a commitment to advancing diversity, equity, inclusion, and belonging through their research, teaching, and service. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

The Herbert Wertheim School of Optometry and Vision Science has several clinical facilities that serve a large diverse patient population, a clinical research center, and many laboratories in the Vision Science graduate program conducting research in optics, ocular biology, translational and clinical research, molecular and cell biology, perception, neuroscience, cognitive psychology, and computational vision. The successful candidate will also have opportunities to be considered for membership in other programs across the UC Berkeley campus, including the Berkeley Institute for Data Science, Helen Wills Neuroscience Institute, Redwood Center for Theoretical Neuroscience, the Center for Emerging and Neglected Diseases, and the Berkeley Center for the Science of Psychedelics. Current faculty also enjoy collaborations and/or joint appointments with the Departments of Chemical and Biomolecular Engineering, Computer Science, Molecular and Cell Biology, Psychology, Chemistry, multiple divisions within the School of Public Health, and the Department of Ophthalmology at UCSF.

The application deadline is August 11, 2023. Please visit the following link to apply:

Job Information

  • Job ID: 68972927
  • Workplace Type: On-Site
  • Location:
    Berkeley, California, United States
    Berkeley, California, United States
  • Position Title: Assistant Professor
  • Company Name For Job: UC Berkeley School of Optometry
  • Industry: Academic
  • Job Function: Education
  • Job Type: Full-Time