High Performance Computing Security Developer - 85656
Discover your future at Berkeley Lab!
Berkeley Lab’s National Energy Research Computing (NERSC, https://
www.nersc.gov/) Center has an opening for a High Performance
Computing (HPC) Security Developer. As an HPC Security Developer
you will be involved in all aspects of computer and network security at
the NERSC Center. You will use your computer and programming skills
to enhance network and host intrusion prevention as we migrate from
100G to Terabit networks. You will create new methods to protect
Exascale class systems in an open science environment and have
opportunities to work with data analytics and researchers in a variety of
This position will be hired at a level 3 or 4 contingent upon level of
experience, skills, knowledge, and abilities of the successful candidate.
What You Will Do:
• Serve as a core member of the NERSC Security Group performing
varying security duties including threat awareness, proactive network
traffic analysis, incident response, forensic analysis, and resolution of
• As part of the security DevOps team program in C/C++ to automate
security data collection and use machine learning algorithms to identify
anomalies for investigation.
• Integrate knowledge of network protocols, services, threats,
vulnerabilities, mitigation strategies, and hardware capabilities, with
programming and scripting to build a security environment that reduces
and mitigates risk while enabling our open science mission to succeed.
• Construct methods to examine a wide range of data including: Bro
logs, NetFlow data, centralized syslog, and authentication logs to detect
• Promote a strong security culture through technical security
consulting with NERSC staff.
• On occasion, assist with security incidents outside of regular business
hours as part of a 24/7 devops security team.
• Share your outstanding work through papers and presentations at
various HPC and security conferences.
• Lead technical projects in one or more areas of intrusion detection,
data analytics, machine learning, and artificial intelligence.
• Understand complex systems and develop security models to mitigate
significant risks while minimising effort on minor/theoretical risks.
• Design a security model that allows NERSC to support scientific work
with sensitive data (export controlled, HIPAA, etc) while maintaining an
open science security architecture.
• Lead the team in architecting the next-generation IDS system for
NERSC to use with 400GE and 1TbE border connections.
What is Required:
• Bachelor's degree in engineering, computer science, management
information systems, or related field preferred or equivalent combination
of education and experience and a minimum of 8 years of related
experience in systems programming or cyber security (including college
• At least two years in the area of computer security in a dynamic,
multi-platform networked environment, preferably in a high-
performance computing or academic environment.
• Self-motivated with demonstrated ability to work highly
collaboratively, requiring little direct supervision.
• Excellent oral, written and people skills.
• Expertise with firewalls, network intrusion detection systems, detecting
compromised systems and securing Internet accessible production
• Experience with UNIX system administration and systems
• Ability to articulate the long-range vision of Security and Open
Science used by NERSC.
• Ability to identify and implement security enhancements that will
reduce risk to NERSC without interfering with the ability of our users to
• Familiarity with basic statistical and data analysis concepts, and how
they can be applied to workflow.
• Experience using Bro, an open-source network intrusion detection
• Ability to formulate, organize, and present ideas in an effective
manner. Develop proposals and clearly articulate
Additional Desired Qualifications:
• A minimum of 12 years of experience in systems programming and
• Capable of implementing a moderate enclave and maintaining export
• Broad expertise with a respected reputation within the HPC and
• Masters degree in computer science, computer engineering or related
• Minimum of 4 years programming in c or c++
• Demonstrated experience in system administration and/or network
administration (design, implementation, and maintenance) - particularly
relating to scale and automation issues.
• Experience with machine learning and Artificial Intelligence
• Familiar with federated identity management in a large collaborative
• Familiarity with DOE Office of Science research programs, and/or
Research and Education networking communities in the US or abroad.
The posting shall remain open until the position is filled.
• This is a full time career appointment.
• Full-time, M-F, exempt (monthly paid) from overtime pay.
• This position requires access to export control and security sensitive
information. Therefore, the selected candidate for this position requires
U.S. citizenship or U.S. permanent residency.
• This position may be subject to a background check. Any convictions
will be evaluated to determine if they directly relate to the
responsibilities and requirements of the position. Having a conviction
history will not automatically disqualify an applicant from being
considered for employment.
• Work will be primarily performed at: Lawrence Berkeley National Lab,
1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://18.104.22.168/counter.php?id=159409 and
follow the on-line instructions to complete the application process.
Berkeley Lab (LBNL,http://www.lbl.gov/) addresses the world’s most
urgent scientific challenges by advancing sustainable energy, protecting
human health, creating new materials, and revealing the origin and fate
of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has
been recognized with 13 Nobel prizes. The University of California
manages Berkeley Lab for the U.S. Department of Energy’s Office of
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/
Affirmative Action Employer. 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. Berkeley Lab is in compliance with the Pay
Transparency Nondiscrimination Provision under 41 CFR 60-1.4 (https://
eeopost.pdf) to view the poster: "Equal