Role Description Our Consulting Practice is seeking a Consulting Systems Engineer to join our Cyber Consulting team. In this dynamic role, you will work with our Consultants, Manager, and VP and collaborate with corporate and private equity clients, working on cybersecurity and technology operations assessments to document the current state, identify risks, and develop strategic long-term road maps. - Collaborate with team members to configure and deploy Thrive’s autonomous penetration testing solution, vulnerability scanner, and network discovery tools. - Provide expert briefings to customers on key findings and remediation strategies. - Participate on teams serving clients across industries while establishing trusted relationships with client counterparts. - Facilitate due diligence processes focused on identifying cybersecurity, operational and technology strategy, organizational structures, and current state risks. - Facilitate the process of developing strategic, prioritized recommendations based on customer collaboration during consulting engagements. - Collaborate in scoping future engagements and proposals based on findings and customer priorities. - Collaborate in developing comprehensive documentation for clients reflecting current state and long-term strategy. - Collaborate in assessing client cybersecurity and technology investment strategies against recognized standards and industry benchmarks, identify gaps and improvement opportunities. - Work with supervisor in identifying opportunities to recommend appropriate Thrive products and services aligned to client strategy, priorities, and requirements. - Develop executive-ready client presentations that capture current state, key findings, and long-term strategy recommendations. Qualifications - Bachelor’s degree or equivalent accreditation in a related discipline (e.g. Operations Management, Management Information Systems, Information Technology). - Minimum of five (5) years’ experience in cybersecurity or IT. - Existing CISSP or CISM certification or willingness to rapidly achieve certification is preferred. - Knowledge of industry-standard cyber security frameworks, including the CIS controls. - Ability to present to both technical and non-technical audiences at levels up to management. - Administrative-level knowledge in the following areas: - VMware and Hyper-V virtualization platforms. - Windows, UNIX, Linux OS. - Microsoft 365. - Entra ID IAM. - Azure, AWS and/or Google public clouds. - Network Infrastructure. - Operational and technology experience in MSP, MSSP, software/hi-tech, healthcare, and/or manufacturing & distribution organizations. - Ability to assist in creating customer-facing documents and presentations. - Candidates must be eligible to work permanently in the US. - Ability to travel as required. Requirements - Thrive is committed to providing fair and equitable compensation practices for all employees. - Strive to provide competitive salaries that reflect the value and skills each team member brings to our organization. - Salaries are determined according to the job's scope, market data, location, and the candidate’s qualifications, including experience and relevant education. - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other legally protected status.

• You will be responsible for Ethernovia’s Networking devices software stack development which will include; Embedded Firmware, kernel/user mode device drivers, stack extensions, debug, and test utilities, as well as automated unit/system testing. • The drivers will integrate with the Communication Stack of a Linux and AUTOSAR Stack. • The device drivers will allow the User application, Middleware and Operating system to take full advantage of the feature rich hardware. • As for the firmware it configures, controls, and monitors the communication device and interacts with the host system via device drivers to expose hardware features of the devices. • You will be responsible for architecture, design, implementation, testing, and integration of the device drivers rolled into Ethernovia’s SDK. These drivers are built ground-up for safety critical automotive application. • Every team member is required to fit into a culture of safety and best development practices.

• Act as a liaison between end-users/clients and the IT department • Review, analyze, and evaluate complex business systems • Write detailed descriptions of user needs and program functions • Interview end-users/customers to define business requirements • Translate business requirements into functional specifications • Facilitate design sessions with business and technical resources • Develop project plans and prioritize project tasks • Perform quality control checks on software before release

Role Description SkyPilot exists because GPUs are scarce, expensive, and scattered — and the workloads that need them (pre-training, post-training, RL, high-throughput inference) push hardware to its limits. We're looking for an engineer to own the GPU and ML-systems layer that frontier AI teams run on: - Accelerator scheduling and utilization - The serving path - The integrations that make SkyPilot the fastest, most cost-efficient place to run demanding AI workloads A few points of GPU utilization here can save a team millions in compute and days on every training run. What you'll do - Own GPU scheduling, utilization and health: - How SkyPilot discovers, packs, and binpacks accelerator capacity across clouds and Kubernetes - Real-time GPU health monitoring and automatic failure recovery - Build optimizations for training and serving: - Enable large scale pre-training with node hot-swapping - Design storage systems for fast model checkpointing - Container migration, inference autoscaling and multi-cluster serving - Preemption handling and sandboxes for training, RL rollouts, and evals - Make the AI stack run great out of the box: - Deepen integrations with vLLM, PyTorch, Slime, and the frameworks teams use for pre-training and high-throughput inference Qualifications - Hands-on experience with GPU or accelerator systems and with ML training or inference infrastructure - Strong Python, and comfort reaching into systems-level and GPU-adjacent details - You care about squeezing most from the compute available to you - Experience operating large-scale training or high-throughput inference in production Requirements - Familiarity with the modern ML ecosystem (e.g. vLLM, PyTorch, CUDA, verl/slime) and workload-orchestration frameworks (e.g. Kueue, KAI, KServe) - You've done real ML-systems performance work - tell us about a bottleneck you hunted down (a stalled data pipeline, GPUs idling on a scheduling gap, communication you overlapped with compute) and what you measured before and after Benefits - Competitive compensation and equity - Comprehensive medical, dental, vision coverage for you and your dependents - The chance to work with some of the best minds in cloud, distributed, and AI systems — with significant autonomy and ownership - A front-row seat at the latest open-source infra startup from Berkeley (lineage: Databricks, Anyscale) - Gourmet lunch & dinner for the team to do their best work Company Description SkyPilot accelerates the world's most ambitious AI teams. Every hour they spend fighting infrastructure is an hour the frontier doesn't move — so SkyPilot turns fragmented compute across clusters into one optimized, highly available and easy-to-use pool: a single "AI supercomputer." SkyPilot (10k+ GitHub stars, 14M+ downloads) is deployed at 100s of companies — from Fortune 500s to top AI-natives like Abridge, Applied Compute, Mistral, Unconventional AI, H Company, and Nubank — with usage growing exponentially. Born in the UC Berkeley lab behind Spark and Databricks, our growing team includes top-tier talent from Databricks, Google, Berkeley, MIT, CMU, and Cornell.