Description Technical Lead - Autonomous Driving Evaluation Infrastructure Description Role Overview: As a Technical Lead of the Galileo team, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows for both vehicle release and autonomous driving stack validation and verification. This includes building and optimizing data processing pipelines for large scale analysis. Your role will include defining and shaping the technical vision and strategy to ensure alignment with broader company objectives, designing and implementing systems to support AV / ADAS development. You will drive software engineering best practices within the team and develop tools that promote these standards company-wide. About the Organization: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. Galileo is building the core infra and architecture to support testing at scale. As part of this team, you will build the infra and required tech for test organization, test triggering, test analysis workflows and the related data pipelines. What You'll Do: - Act as technical architect, help define technical vision and strategy, and ensure the technical direction of your team aligns with broader company objectives. - Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on-road performance - Improve and deliver reliable software through continuous integration, automated testing, and code reviews. - Drive software engineering best practices within your team and develop tools that promote these standards company-wide. - Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting - Help define, build, and embody GM engineering culture and principles Your Skills & Abilities: - BS, MS, or PhD in Computer Science, Robotics, or equivalent experience - A demonstrated track record of building high quality software and a focus on the customer through operational excellence - Broad exposure to the end-to-end product engineering stack, from frontend to infrastructure - Experience with SOA or microservice-based architectures, large scale distributed systems, and common cloud platforms like AWS/GCP - Strong organizational and communication skills. - Self-motivation and passion to lead, mentor, encourage best practices, and constantly improve - Familiarity with Python, Go, Node, React or other web development framework/languages - PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift. - Passion for self-driving technology and its potential impact on the world What Will Give You A Competitive Edge: - A background in robotics, ROS, or the AV/ADAS industry - Scientific Analysis experience - Experience with data pipelines/workflows supporting data scientists - Experience building high quality dev productivity tools. - Experience writing modern production C++ applications - Experience developing high-quality software under significant latency and performance constraints - Experience developing or working with safety-critical code Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. Relocation: This job may be eligible for relocation benefits. "Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies." #GM-AV-1 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Analyzes spatial and statistical data, implements test and validation protocols, and contributes to written reports that support the research of the Fire Safety Research Institute (FSRI) and fire risk and resilience science. • Works closely with other FSRI leaders and researchers in contributing to applied mathematical models, visualizing spatial analytic outputs and products, and other information dissemination associated with fire risk, fire protection, mitigation, safety, and emergency response. • Utilizes data science tools, resources, and software programs to further the mission and vision of ULRI in support of the fire service and greater public. • Supports fundamental knowledge needed to enhance ULRI’s thought leadership and support the strategy of ULRI. • Applies knowledge of and experience with spatial and temporal large-scale data, risk analysis methods, development of visualization outputs and other systems/resources to assist with various research projects and safety initiatives. • Works with data sets related to historical events, natural landscape features, fire service capacity, temporal weather conditions, and population demographics, often using spatial statistical methods and tools. • Supports the processing and visualization of mathematical and statistical models that analyze and predict current and future fire risk, including hazard frequency, intensity, temporal factors, socio-economic factors, and spatial extent. • Works in collaboration with the software development team, informing and testing risk quantification methods and models at a national scale with resulting high performance. • Provides input into technical projects, using information from experience and education to positively impact the fire service. • Stays informed of evolving technologies and emerging data science and sources, in the field by reading journals and scientific publications, and attending academic conferences. • Supports the planning, design, and implementation of procedures as needed to test and validate results. • Works with partner organizations, students, and teams. • Supports presentation of data science products and findings in various venues, as necessary. • Perform other duties as directed.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary As a Senior Designated CTI Analyst (DCA) on the Unit 42 CTI Services Delivery Team, you will play a critical role in helping evolve the client’s cyber threat intelligence operations. Key to this role is understanding customer intelligence and business priorities and developing tailored cyber threat intelligence findings and capabilities to drive their security outcomes. This will be done through: - Developing automation and orchestration pipelines to surface relevant threats based on multiple feeds; - Creating timely, relevant, and actionable threat insights based on customers priority intelligence requirements; - Upskilling the customers use of cyber threat intelligence through sharing threat intelligence best practices Key Responsibilities - Integrate intelligence use cases into security tooling, including data feed collation, deduplication, and the creation of threat dashboards. - Correlate raw network and host-based indicators to attribute activity to specific threat actor groups, intrusion clusters, and malware families. - Utilize Palo Alto Networks telemetry, commercial tools, and open-source data to identify and track threat activities of interest, pivoting between the customers findings and Palo Alto Networks telemetry. - Leverage intelligence discoveries to perform threat hunts within the client’s Cortex security console. - Provide tailored research and analysis for client-based Requests for Information (RFIs) to include relevant cyber threat activities, trends, or shifts in the threat landscape. - Create a cyber threat profile that identifies top threats and provides tailored defensive recommendations based on their unique operational footprint. - Assist in upskilling customer team capacity through mentorship sessions, and other micro-learning initiatives on best practices in CTI. - Provide monthly briefings to customer leadership highlighting relevant threats, trends, and support provided. Qualifications Required Qualifications - Minimum of 7 years of experience in the cyber threat intelligence (CTI) field with a specialized focus on intelligence engineering and threat research. - Strong understanding of security tooling, including the underlying data structures and complex data flows required for modern defense. - Strong ability to architect scalable solutions to process, deduplicate, and enrich threat data, ensuring all intelligence is accurately tagged and discoverable by analytic end users. - Knowledge of cyber threat actors, noteworthy attacks, and the ability to quickly recognize shifts or deviations from threat activity baselines. Ability to provide tailored defensive recommendations based on identified activity. - A proven track record of proactive threat hunting within enterprise security consoles with a strong preference for experience using Palo Alto Networks’ Cortex product. - Experience communicating complex threat intelligence to diverse audiences, including C-suite executives. - Proven ability to operate under short-fuse deadlines, manage concurrent tasks, and thrive in complex and sometimes ambiguous situations. - Deep experience with cyber threat intelligence frameworks (e.g., MITRE ATT&CK) and advanced analytical techniques. - Previous experience supporting a customer organization as a designated resource preferred. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. $139,600.00 - $225,775.00/yr Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

About us: Shape the Future with AI, Ignite Your Potential Xenon7 is an inferno where skill, dedication and passion run together. About our client: Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.  We are seeking a Statistical Geneticist with expertise in whole genome sequencing (WGS), proteomics, and clinical outcomes analysis to advance our research in identifying novel therapeutic targets. This role will involve analyzing large-scale biobank and population-cohort datasets to uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists. Key Responsibilities - Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery. - Conduct rigorous analyses of large-scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes. - Develop and implement machine learning and bioinformatics pipelines to integrate multi-omics data. - Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development. - Prepare scientific reports, presentations, and publications detailing research outcomes. - Contribute to the development of novel statistical methods for analyzing high-dimensional biological data.