Role Description Deep Fission is seeking an experienced Senior Engineer to support performance of thermal-hydraulic (T/H) and nuclear safety analyses in support of the design development and licensing of its first-of-a-kind underground pressurized water reactor (PWR). The reactor concept utilizes standard LEU fuel assemblies and conventional PWR thermal-hydraulic conditions, uniquely sited approximately one mile underground. This role sits within the Thermal-Hydraulics Group and represents a key technical contributor to the reactor’s safety analysis program. The successful candidate will bring hands-on experience with DOE or NRC accepted system-level codes and analysis methodologies applied to licensed PWR applications. In addition to performing design-basis and beyond-design-basis transient and accident analyses, this engineer will help shape Deep Fission’s overall safety analysis and licensing strategy, support code validation and verification (V&V) activities, and develop the reactor system models used for analysis. Because Deep Fission is an early-stage company, this role requires adaptability and a willingness to take on responsibilities across the broader engineering and licensing program as the project evolves. Key Responsibilities - Perform design-basis and beyond-design-basis thermal-hydraulic analyses, including non-LOCA transients, reactivity-initiated accidents (RIAs), loss-of-flow, and station blackout (SBO) scenarios. - Develop, maintain, and benchmark reactor system models using T/H codes in accordance with applicable regulatory requirements and quality assurance standards. - Support the development and execution of the Code Validation and Verification (V&V) program, including the preparation of V&V reports and uncertainty quantification in support of NRC licensing submittals. - Contribute to the development of Deep Fission’s overall safety analysis methodology and licensing strategy, including selection of analysis codes, determination of licensing basis events, and definition of acceptance criteria. - Prepare and review safety analysis documentation including design-basis accident analyses, safety analysis reports (PSDA/DSA or PSAR/FSAR sections), technical specifications bases, and responses to regulator questions and requests for information. - Ensure effective coordination with reactor physics, systems, mechanical, and licensing teams to maintain technical alignment across the design and safety basis. - Participate in design reviews, safety review committee activities, and in-person technical workshops. - Promote a proactive nuclear safety culture and advocate for Deep Fission and its technology in technical and regulatory forums. - Perform additional tasks as requested by management, which may include supporting construction, procurement, startup testing, and operational licensing activities as the project matures. Qualifications - 7+ years of experience performing nuclear thermal-hydraulic and safety analyses in a licensed nuclear application environment. - Bachelor’s degree in Nuclear Engineering, Mechanical Engineering, or a closely related technical field. - Demonstrated proficiency in one or more NRC-accepted T/H system codes applied in licensed PWR applications, including RETRAN, RELAP5 (or RELAP5-3D), TRACE, and/or GOTHIC. - Experience developing and executing reactor system models for design-basis LOCA and non-LOCA analyses, including model development, nodalization, and steady-state benchmarking. - Working knowledge of NRC regulatory requirements applicable to safety analysis, including 10 CFR Part 50, Appendix K, the Revised Acceptance Criteria (Best-Estimate LOCA), and associated regulatory guides. - Familiarity with nuclear quality assurance requirements (e.g., 10 CFR 50 Appendix B, NQA-1) and their application to safety analysis and software V&V. - Proven ability to prepare and review technical documentation intended for NRC review, including safety analysis calculations, topical reports, or FSAR sections. - Ability to work effectively in a virtual and hybrid team environment with multiple interfaces and stakeholders. - Must be a U.S. person eligible to meet DOE Export Control requirements under 10 CFR 810. Desired Skills & Experience - Master’s degree or Ph.D. in Nuclear Engineering or Mechanical Engineering. - Licensed Professional Engineer (PE) in a relevant discipline. - Direct experience supporting NRC licensing submittals, including topical report preparation, RAI responses, and/or ACRS interactions. - Experience developing or contributing to a safety analysis methodology program at a reactor vendor, utility, or nuclear engineering firm. - Familiarity with uncertainty quantification methods (e.g., CSAU, ASTRUM, or similar statistical approaches) for best-estimate T/H analyses. - Experience with first-of-a-kind nuclear designs, SMRs, or novel licensing pathways (10 CFR Part 52 or emerging 10 CFR Part 53 framework). - Proficiency with scripting tools (Python, MATLAB) for model automation, post-processing, and sensitivity studies. - Experience with AI-enabled engineering platforms and modern simulation toolchains. Key Competencies - Technical Depth – Advanced understanding of thermal-hydraulic phenomena in light water reactor systems, including two-phase flow, critical heat flux, natural circulation, and reactor transient behavior. - Licensing Acumen – Ability to translate regulatory requirements into defensible analysis approaches and documentation that will withstand NRC scrutiny. - Strategic Thinking – Capacity to help define and advance Deep Fission’s safety analysis and licensing approach at both the technical and programmatic level. - Adaptability/Resilience – Ability to thrive in an early-stage, resource-constrained environment, adjusting priorities and scope as the project evolves. - Organizational – Experience functioning within structured engineering programs with multiple engineering disciplines, subcontractors, and regulatory stakeholders. - Communication – Demonstrated ability to clearly convey complex technical concepts in written reports and verbal presentations to both internal teams and external regulators. Our Commitment Deep Fission is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds who share our passion for advancing clean nuclear energy and creating a sustainable future. We do not discriminate on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Role Description As a Forward Deployed Engineer (FDE) focused on large scale GPU clusters, you will be a hands-on technical partner to our strategic customers – the world’s leading AI model builders. You will partner with our SAs as a deep-domain specialist in large-scale infrastructure, storage, high-performance networking, and cluster orchestration. As key contributors to the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption for our strategic customers, and guide tailored optimization efforts - directly impacting company growth and the hardening of our core platform. Responsibilities - Cluster Hardening & Validation: Design and execute rigorous pre-handover test suites (NCCL, DCGM, GPU Burn) to ensure clusters are stable under the extreme stress of multi-node training. - Technical Partnership: Act as the primary technical point of contact for model labs, helping them tune their orchestration layer (Kubernetes or SLURM) for maximum throughput. - Infrastructure Optimization: Profile and debug low-level bottlenecks in InfiniBand (IB) fabrics, NVLink topologies, and high-performance storage systems. - Opinionated Onboarding: Build reference designs and "out-of-the-box" configurations for training frameworks to reduce customer time-to-train. - Benchmarking & Migration: Lead complex benchmarking exercises to demonstrate the performance impact of migrating to new hardware families or Together AI’s optimized infrastructure. - Product Feedback Loop: Directly influence our hardware and software roadmap by surfacing edge cases and performance gaps found during customer deployments. Qualifications - Experience: 5+ years in a technical role, with a strong focus on Large-Scale GPU Infrastructure. - Orchestration Mastery: Deep, hands-on experience with Kubernetes (specifically GPU-operator and device plugins) and/or SLURM for workload scheduling. - Networking & Interconnects: Expert knowledge of InfiniBand, RoCE, and NVLink; ability to diagnose network failures that degrade collective communication (NCCL). - Storage Knowledge: Familiarity with parallel file systems (VAST or Weka preferred) and object storage, specifically in the context of large-scale checkpointing. - Benchmarking Skills: Ability to run and interpret training benchmarks and communication tests to validate cluster health and performance. - Coding & Automation: Proficiency in Python and shell scripting; experience with Ansible or similar tools for automated cluster configuration. - Willingness to dive into the customer's stack to solve hard problems and comfortable with the high-stakes, fast-paced environment of frontier model labs. Benefits - Competitive compensation - Startup equity - Health insurance - Flexibility in terms of remote work Company Description Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure.

Role Description MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth! MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases: - E-commerce platforms - Trading systems - Social media applications Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. You will have abundant opportunities to meaningfully impact the growth of our business in your region. This role will be based remotely in Sydney. Qualifications - Deep, demonstrable expertise in data platform design and operational excellence, including data modeling, performance tuning, and scaling for at least one major database (e.g., MongoDB, PostgreSQL, SQL Server, Oracle). - Proven ability to function as a trusted technical advisor by combining strong verbal and written communication skills with hands-on problem-solving ability. - Confidence speaking and presenting in a collaborative customer setting. - Strong, hands-on proficiency in Linux system use and diagnostics. - Practical experience deploying and managing databases using Kubernetes (k8s)/Containers. - 10+ years of software development/consulting experience, preferably in a number of distinct industries/verticals. - Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations. - Competence in at least one of the following languages: Java, C#, Python, Node.js (JavaScript), Ruby, Go. - Should be capable and comfortable with frequent travel for short trips to customer site during the working week. Requirements - Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning, and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption. - Deliver customer classroom-based training to architect, developer, and operations roles. - Work as part of a wider delivery team comprising fellow consulting engineers, project managers, and account teams. - Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future. - Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap. Benefits - Employee affinity groups - Fertility assistance - Generous parental leave policy

Role Description We are looking for a Quality Assurance Engineer with expertise in automated testing to ensure our backend systems meet the highest quality standards. - Automated Testing: Design, develop, and execute automated test scripts for software using industry-standard tools and frameworks (e.g., Selenium, TestNG, Junit, JMeter, Python). - Test Strategy: Define and implement automated testing strategies and frameworks to enhance testing efficiency and coverage. - Integration: Collaborate with development teams and integrate automated tests into the CI/CD pipeline. Document progress and issues in Jira and communicate via Microsoft Teams. - Performance Testing: Conduct performance and load testing to assess system scalability and robustness. - Troubleshooting: Identify, analyze, and troubleshoot complex issues in both automated and manual testing environments. - Mentorship: Provide guidance and mentorship to junior QA engineers, fostering a culture of quality and continuous improvement. - Documentation: Maintain detailed documentation of test cases, test scripts, and testing processes in Jira. Use Excel for analyzing and reporting on testing metrics, applying advanced functions as needed. - Data Analysis: Utilize SQL Server Management Studio for validating backend data and understanding data relationships. - Feedback: Provide critical feedback to stakeholders, including clients, project managers, and developers, regarding software quality and areas for improvement. Qualifications - 5+ years of experience in software testing with a strong focus on automated testing of backend systems. - Proficiency in programming languages (e.g., Java, Python, C#) and test automation tools and frameworks (e.g., Selenium, RestAssured, TestNG, JMeter). - Deep understanding of SDLC, testing methodologies, and best practices in automated testing. - Experience with Jira for documentation and issue tracking, Microsoft Teams for collaboration, Excel for reporting (including advanced functions), and SQL Server Management Studio for backend data validation. - Strong ability to understand data relationships and perform effective data manipulation using advanced spreadsheet functions. - Strong analytical and problem-solving skills with the ability to troubleshoot complex issues. - Bachelor’s degree in computer science, Engineering, or a related field. Requirements - Experience with containerization technologies (e.g., Docker, Kubernetes). - Familiarity with cloud platforms (e.g., AWS, Azure) and their testing-related services. - Familiarity with manual testing. - ISTQB certification. Benefits - 40 hours per week - Life insurance 100% covered - 50/50 Health insurance (optional) - 50/50 Half scholarships (optional) - Annual salary appraisal - Internal savings and credits association - Christmas bonus above the law - Internet bonus - Cellphone bonus - Other benefits