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Job DescriptionZap Energy is looking for a Pulsed Power Engineer to join our team in San Diego. The San Diego Zap team is a small, highly experienced pulsed power group, focused on component development for power plant-relevant scale fusion systems. As part of the team, you will work closely and directly with principle pulsed power architects and designers to safely and effectively implement testing, collect test data, and provide results and suggested improvements. Office and labs are in San Diego and San Marcos. This is a full-time, on-location position. Hybrid and remote arrangements are not available for this role. Responsibilities: • Maintain excellent safety environment and complete all safety training on time., • Design and implement high voltage pulsed power components, test fixtures, and assemblies that are manufacturable, professional, and commercially applicable., • Test high voltage pulsed power components and systems safely and effectively., • Participate in engineering development process including conducting design reviews, and team/project meetings., • Follow established development processes and workflows and use industry best practices., • Participate in Review and Planning (R&P) activities supporting company, team, and personal periodic milestones and goals, and have regular 1:1 discussions with manager., • Communicate effectively using various tools including email, Slack, Confluence, Jira, Microsoft Office.Qualifications: Required: • BS or MS in Electrical Engineering, Engineering Physics, Applied Physics or similar, • 4-7 years experience with Pulsed Power/High Voltage Electronics design and testing, • Experienced with high voltage pulsed power systems (20kV+, 100kA+, 10’s ns – 100us’s) and architectures including marx generators, LTD, high energy capacitor banks, • Familiar with typical pulsed power components such as spark gap switches, thyristors, capacitors,, • Understands pulsed power diagnostics such as rogowskis, high voltage probes, b-dot / magnetic probes, • Familiar with 3D FEA modeling tools for Electrostatic, transient dynamic, and circuit modeling, • Proficient with Ansys Maxwell 3D, • Experienced with high voltage safety equipment and procedures such as safing capacitor banks, discharge and grounding sticks, high voltage energy dump systems, • Enjoys working in the lab, has good lab housekeeping habits, comfortable developing, assembling, and using test fixtures for high voltage systems, • Knowledgeable in various insulating systems including vacuum, pressurized insulating gas like SF6, breakdown in air, and insulating materials like polymers and ceramics, • Experienced with hi-potting and high voltage power supplies, • Good communication skills developing project plans and providing status and reporting to management and stakeholders, • Strong testing and troubleshooting skills. Competent with typical electronics bench tools such as oscilloscopes, probes, signal generators, power supplies, impedance analyzers, • Decent soldering and rework skillsPreferred:, • Familiar with PCB development and tools such as Altium or KiCad, PCB manufacturing, and PCB testing, • Experience with control systems, • Programming in Python, C, or NI Labview, • Familiar with power electronics and switch mode power supplies, • Experienced using solid modeling tools like SolidworksTravel:, • 12%- 25% (Once every 4-8 weeks) to headquarters in Seattle and various other locations for vendor visits, professional conferences, and similarBenefits of joining Zap Energy - While doing meaningful work is rewarding in itself, we also offer the following programs and benefits for all employees:, • Competitive salary and benefits, • Premium medical / dental / vision insurance, • Flexible vacation and paid company holidays The estimated salary range for this position is $110-160k. Candidates may be considered for other positions at Zap Energy and actual salary will be based on relevant education, experience, and other qualifications. Range is published in accordance with Washington Equal Pay and Opportunity Act. Zap Energy is building a low-cost, compact, and scalable fusion energy platform that confines and compresses plasma without the need for expensive and complex magnetic coils. Zap’s sheared-flow-stabilized Z-pinch technology provides compelling fusion economics and requires orders of magnitude less capital than conventional approaches. Zap Energy has approximately 150 team members in multiple facilities near Seattle and is backed by leading financial and strategic investors. Zap Energy Inc. is an equal-opportunity employer. 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 any other characteristic protected by applicable laws and regulations. Questions on this position can be sent to careers@zapenergyinc.com. Powered by JazzHR n0w1tEqMdd

Job DescriptionDescription: Summary The Facilities Automation Engineer is responsible for overseeing the operation of the Building Management System (BMS), policies, and procedures for maintaining the system in a compliant GMP status. Responsibilities include compliance with the alarm response procedure, making changes under change control, writing system requirement documents, assisting with validation, modifying existing SOP’s and creating new documents as directed. Works with and directs contractors to modify, commission and validate changes to the BMS. Essential Job Responsibilities • Applies basic engineering and scientific principles to define user requirements for the operation of the automated Building Management System., • Oversee day to day operation of the Building Management System. Interface with IT, Facilities and other departments as necessary to ensure proper operation of system and components (controllers, sensors, and alarms)., • May lead teams or collaborates with Validation and Facility personnel in the testing of mechanical systems air handling systems, differential pressures, cold rooms, and stand-alone refrigeration units, • Generate reports using the BMS data to demonstrate compliant operations., • Execute engineering tests, commissioning and validation protocols following Good Manufacturing Practices, • Collaborates with Quality Assurance, Validation, QC, Warehouse, and Manufacturing groups., • Effective communicator of goals and results within Facilities, • Interacts with other functional groups on specific tasks., • Authors internal reports at appropriate milestones with minimal guidance. Requirements: Education and Experience • Bachelor of Science with 1 years’ experience in facilities. Preferred a degree in chemical/biochemical/ mechanical/ electrical engineering, or information technology related disciplines. Knowledge, Skills, and Abilities • Working knowledge of Building Management System Operations preferably Siemens Desigo and Insight., • Basic understanding of applied physics as it relates to HVAC and refrigeration systems., • Basic understanding of programming logic, • Follow written and verbal directions in a safe and GMP compliant, • Executes validation and commissioning protocols without guidance., • Regularly required to talk and hear; to exchange ideas accurately, loudly or quickly through oral communication. Specific vision requirements include close vision, distance vision, peripheral vision, depth perception, color vision and ability to adjust focus. The noise level in the work environment is usually quiet to moderate, but it may be required to shout in order to be heard above ambient noise level., • Required to perform repetitive tasks such as typing, use of mouse, screwdriver and other hardware. Consistently required to perform sitting, standing for sustained periods of time, reaching, twisting, handling, fingering, and feeling objects such as tools and controls. Frequently required to climb stairs, ramps and step ladders. Occasionally it involves stooping, balancing, kneeling, crouching and feeling., • Required to work within a manufacturing facility and laboratory environment where employees may be exposed to risk group 2 agents., • Required to work within the manufacturing facility and must be able to gown appropriately and don required personal clothing to enter controlled manufacturing facility including sterile environments. Required to wear protective eyewear, tyvek suit, nitrile gloves (double gloves) and safety shoes., • Occasionally will work within a laboratory environment., • Required to work outside of the building in the equipment yards and roof buildings. May be exposed to close quarters, crawl spaces, shafts, manholes, small, enclosed rooms, small sewage and water line pipes, and other areas which could cause claustrophobia. May be subject to oils where there is air and/or skin exposure to oils and other cutting fluids., • The employee may be required to work at heights when performing standard facilities work. May be exposure to oscillating movements of the extremities or whole body. Required to work in some areas where there Is poor lighting., • May be exposed to pressurized vessels., • Occasionally exposed to thermal hazards. May be required to work in temperatures above 100 degrees for periods of more than one hour. Consideration should be given to the effect of other environmental conditions such as humidity and wind., • May be exposed to one or more of the following conditions which may affect their respiratory system: dusts, fumes, odors, vapors or mists., • On occasion, the employee may work on weekends or nights, or on-call as needed., • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions for this position., • Please note this job description is not designed to cover or contain a comprehensive listing of activities,, • Effective communicator of project updates and results., • Works effectively in teams.

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics. Requirements • PhD (pursuing or completed) in Physics, Applied Physics, or a related field., • Strong physics reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details • Pay rate: $100+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Job Description Lead / Principal Process ML Engineer Job Title: Lead / Principal Process ML Engineer Job Type: Full-time Location: San Diego, CA Summary We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability — we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution. Roles and Responsibilities • Own the technical direction for key projects — set vision, define what to build, manage priorities, and be accountable for delivery, • Lead development of ML-driven process optimization products — from causal modeling to productization and customer deployment, • Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints, • Define modeling strategy — decide which physics to encode, which architectures to use, and how to validate against real process data, • Drive architecture reviews and technical decision-making across the process optimization team, • Hire, mentor, and grow engineers — build a high-performing team through hiring, code reviews, and technical coaching, • Coordinate across HQ (Seoul) and overseas R&D labs — aligning research with product roadmaps across time zones, • Own production-grade delivery — models must run reliably inside equipment operating 24/7 on customer lines Requirements • Doctorate (Ph.D.), • Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field, • 8+ years of industry experience post-Ph.D., • Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment, • Experience leading a technical team — setting direction, managing delivery, and making architecture decisions, • Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics), • Strong ML skills (PyTorch, custom architectures, PINNs, neural operators, surrogate models), • Ability to bridge physics and product — translate process understanding into model design and product features, • Comfort with ambiguity: able to define the problem and the approach, not just execute a spec, • Experience shipping ML-driven process optimization or control products in an industry setting, • Experience leading or managing a technical team (ML or applied science), • Experience with production software systems — ML integration, data pipelines, deployment infrastructure Preferred Requirements • Prior role as Tech Lead, Staff Engineer, or Team Lead in an ML or applied science team, • Experience productizing process optimization as a commercial product deployed on customer sites, • Hands-on manufacturing process experience — semiconductor, SMT, electronics assembly, or precision manufacturing, • Experience coordinating technical direction across distributed teams (HQ + overseas R&D), • Published work in scientific machine learning, computational physics, or neural operators, • Experience with SPC, Cpk analysis, or 3D inspection/metrology systems Benefits • Health/Dental/Vision/Life Insurance at no employee premium (including dependent coverage), • 401K retirement plan with 5% matching, • Generous PTO and paid holidays

Job Description ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible. ABOUT THE ROLE This role builds and operates the data and machine-learning infrastructure the platform runs on: the pipelines that turn large-scale scientific output into data models can train on, and the systems that move those models from research into production and keep them running there. Hands-on work, close to both the data and the models. You’ll own both sides. On the data side, that’s pipelines and formats that keep large-scale output fast to query and ready for training. On the model side, it’s the packaging, serving, monitoring, and CI/CD that let models ship safely and stay healthy once they’re live. And because the platform runs inside customers’ own secure environments, on their clusters, in their cloud, or a mix of the two, whatever you build has to stay observable and reliable in places you don’t operate. Everything downstream depends on this layer. When it’s slow or unreliable, so is everything built on top of it. WHAT YOU WILL DO • Build the data pipelines that ingest, transform, and curate large-scale scientific output into efficient, training-ready formats on object storage., • Make that data fast to query and cheap to reuse, so analysis and downstream jobs aren’t left waiting on it., • Build the ML data pipelines for training, fine-tuning, and reinforcement learning: curation, deduplication, formatting, and the evaluation sets that keep training honest., • Catch bad data early, with validation and quality gates that check schema, distribution, and completeness before it reaches a model., • Package, version, and deploy models across development, staging, and production, with registries and reproducible builds that keep every deployment traceable., • Run models through CI/CD and serving workflows for batch, online, and asynchronous inference, with safe rollout, rollback, and quick diagnosis when something breaks., • Monitor deployed models for drift, degradation, latency, and anomalies, with automated regression checks that flag trouble before users do., • Stand up dashboards, metrics, logs, and alerts that surface data and model problems while they’re still small., • Design the APIs, services, and internal tools that make these workflows reliable and easy for engineers and scientists to use. WHAT WE ARE LOOKING FOR • Bachelor’s or Master’s degree in Computer Science or a related engineering field, and 6+ years building and shipping production software, with real depth across data systems and ML infrastructure., • Strong Python, and a track record of shipping reliable systems end to end that other people end up depending on., • Hands-on experience with large-scale data systems: object storage, efficient columnar and array data formats, and distributed query and compute engines., • Experience building data and ML data pipelines: ingestion, transformation, curation, and the validation and quality gates that catch problems before they reach training or inference., • Production MLOps experience: packaging, versioning, serving, and monitoring models for drift, latency, and anomalies, backed by model registries and CI/CD for ML., • Deep hands-on experience with containers and orchestration (Docker, Kubernetes) and workflow orchestrators such as Airflow, Dagster, Flyte, or Temporal., • Experience instrumenting production systems and using their telemetry, logs, and metrics (Prometheus, Grafana, OpenTelemetry, or similar) to debug real incidents., • Comfort working across cloud and HPC, including distributed multi-GPU, and owning ambiguous systems end to end in an early-stage setting with little scaffolding. NICE TO HAVE • Data-quality and governance tooling such as Great Expectations or Evidently, plus data contracts, lineage, metadata catalogs, or reproducibility tooling., • Model-serving patterns for high-throughput or asynchronous inference, and runtime uncertainty or out-of-distribution monitoring., • Experiment-tracking and model-lifecycle tooling such as MLflow or Weights & Biases, or serving stacks such as Ray Serve, KServe, or Kubeflow., • Experience applying ML to scientific data, such as property prediction, generative models, or graph-based approaches., • It’d be a plus if you’ve worked with atomistic-ML data tooling: Atompack, ASE-style structure databases, extended-XYZ datasets, or the large public corpora built on them., • Contributions to open-source ML or data infrastructure. LOCATION Singapore or United States. We’re hiring in both to reach the right person. Work model is on-site or hybrid, set per location. CLOSING NOTE If you don’t tick every box but this is clearly your kind of work, get in touch.

Job Description Join our fast-paced and passionate team as an Optical Engineer 2. As we scale, you will be instrumental in building our foundation from the ground up. This is a dynamic, hands-on role for a self-starter who thrives in a fluid startup environment. You'll have the opportunity to work on cutting edge technologies, work closely with leadership, and develop and implement engineering practices that support our mission and growth. Your key responsibilities are as follows: • Work independently and in a team while overcommunicating with the manager, project engineer, and the teammates. Will mentor junior engineers., • Execute complex engineering tasks involving planning, preparation, data/information collection, and analysis and decision-making in a process involving peer reviews and documentation of the results., • Use tenacity, patience, self-discipline, and passion for excellence to assure accuracy of execution schedule, data quality/integrity, conformance to company best practices, clarity in communication, and documentation., • Use every opportunity to grow competency through mentorship, curiosity, communication, exposure, and initiative. Requirements • This position requires access to export-controlled information. Employment is contingent upon the applicant being a U.S. person as defined by 8 U.S.C. § 1324b(a)(3). Experience: • A bachelor’s degree in Optical Engineering, Physics, or a related field., • Minimum of 2 years of relevant experience, ideally within a startup or technology company. Skills: • In-depth knowledge of various optical engineering topics along with a strong grasp of a standard optical engineering degree curriculum., • Comprehensive understanding of optical modeling techniques including ray tracing, wave propagation, and electromagnetic solvers., • Insight into laser beam propagation, including how the movement and rotation of optics influence a beam's near-field, far-field, beam quality, and fiber coupling efficiency., • Ability to design according to specifications by planning design processes that address a range of innovative requirements, identifying the most efficient analysis methods for each, and developing and validating new design and analysis approaches., • Capability to assess optical layouts for optimal performance, manufacturability, and risk evaluation., • Familiarity with arranging laser modules within optical design software., • Extensive knowledge of how to quantitatively characterize an optic, including its material properties, surface specifications, surface irregularities, roughness, mechanical constraints, coatings, power handling, environmental considerations, testing, and inspection methods., • Thorough understanding of tolerance analysis techniques for component fabrication., • Knowledge of fiber optics as applied to high-power continuous wave (CW) laser systems, including multi-mode, single-mode, polarization-maintaining, step index, photonic crystal, and endcap variants., • Proven ability to successfully complete engineering tasks involving design software (preferably Ansys Zemax OpticStudio, Photon Engineering FRED, and/or Lambda Research OSLO), quantitative analysis/programming tools (such as Python), instrumentation and measurement, part fabrication or procurement, integration and testing, data collection, and documentation. Startup Mindset: • You're creative, flexible, and eager to wear multiple hats., • You're passionate about building systems from the ground up and comfortable with ambiguity and change. Benefits The expected annual salary range for this position is $100,000-$150,000. As a full-time employee, you will be eligible for Monarch’s comprehensive benefits package, which includes: • Medical, Dental, and Vision insurance, • Fidelity 401(k) plan with 4% employer matching, • 20 paid time off (PTO) days per year, • 13 paid company holidays, • 9/80 work schedule (every other Friday off) Monarch Quantum is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.

Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! Leidos’ Defense Systems Advanced Development Organization is seeking a talented Flight Dynamicist to join our team to to create unique solutions for complex problems. With offices across the United States engaging in the defense, space, cyber and commercial fields, Leidos provides responsive, cost-effective engineering, scientific and IT solutions. The Advanced Concepts Flight Dynamicist will support modeling and simulation development, conceptual design, and vehicle development of various phases of Missiles, Hypersonic Vehicles, Satellites, and other Space Vehicles. The candidate will perform detailed analysis of flexible and rigid body simulations, separation dynamics, orbit dynamics, trajectory analysis, vehicle sizing, and optimization studies across a multi-disciplinary team. If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click _! Are you ready to make an impact? Share your resume with us today! Primary Responsibilities: • Develop and analyze 3DOF and 6DOF flight dynamics models to evaluate vehicle performance, stability, controllability, and mission effectiveness across the full flight envelope., • Perform trajectory design, optimization, and trade studies for hypersonic, missile, launch vehicle, and space systems, balancing performance, range, payload, thermal, and operational constraints., • Design, implement, and validate guidance, navigation, and control (GNC) algorithms including autopilot logic, trajectory shaping, target engagement, and terminal guidance functions., • Develop high-fidelity simulations and digital engineering models to support concept development, requirements analysis, mission planning, system design, verification, and test activities., • Conduct aerodynamic, propulsion, mass properties, and environmental sensitivity analyses to assess vehicle performance and identify key design drivers and technical risks., • Perform flight mechanics analyses including stability and control assessments, separation dynamics, staging events, atmospheric flight, reentry, and orbital mission operations as applicable., • Develop and integrate mission-level models within modeling and simulation frameworks, digital engineering environments, and hardware-in-the-loop or software-in-the-loop test architectures., • Support flight test planning, pre-flight predictions, post-flight reconstruction, and data analysis activities to validate models and improve system performance., • Collaborate across disciplines including aerodynamics, propulsion, thermal, systems engineering, software, and mission analysis teams to translate requirements into executable vehicle designs., • Support technical proposals, customer engagements, concept studies, and strategic growth initiatives related to advanced aerospace, missile defense, hypersonic, and space systems., • Present technical results, trade studies, and recommendations to internal leadership, customers, and stakeholders through briefings, reports, and design reviews. Basic Qualifications: • Bachelor's Degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics, or related engineering discipline from an ABET-accredited institution and 4 years of experience., • Minimum Masters and 2-4 years of experience in flight dynamics, trajectory analysis, mission design, guidance and control, modeling and simulation, or related aerospace engineering disciplines., • Demonstrated experience developing and analyzing 3DOF and/or 6DOF vehicle simulations., • Strong understanding of flight mechanics, orbital mechanics, trajectory optimization, vehicle stability and control, mass properties, and aerospace vehicle performance., • Experience with aerospace modeling and simulation tools such as MATLAB/Simulink, Python, STK, GMAT, FORTRAN, C/C++, or similar engineering software environments., • Demonstrated capability establishing data pipeline transformations, executing batch simulation runs, or debugging continuous integration test sequences., • Ability to work effectively within cross-functional engineering teams in a fast-paced development environment., • Experience supporting technical proposals, customer interactions, and engineering reviews., • Active Secret security clearance with the ability to obtain and maintain TS, as required. Preferred Qualifications: • Bachelors or Master's Degree in Aerospace Engineering, Systems engineering, Mechanical Engineering, Physics, Applied Mathematics, or related discipline., • Experience supporting hypersonic systems, missile systems, space vehicles, launch vehicles, reentry vehicles, or advanced weapons programs., • Experience creating automated device tracking architectures, signal capture setups, or localized RF / wireless detection configurations within secured engineering environments., • Hands-on experience configuring hardware interfaces, firmware execution (e.g., microcontrollers, embedded single-board computers), or mechanical prototyping layouts., • Familiarity with collaborative design suites, parameter manipulation, and distributed configuration tooling (such as Onshape, Fusion 360, or Solid Edge)., • Background supporting complex tactical defense systems, global missile defense simulation suites, or precise long-range missile performance studies., • Active TS Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. July 15, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Mechanical Engineer - MEP Consulting • BS in Engineering, physics or applied mathematics, • 2+ years experience working for an architect, consulting firm or design-build contractor, • EIT / PE preferred, • Proficient with Revit MEP and AutoCAD, • Experience with design and coordination of complex HVAC / mechanical systems, • Knowledge of plumbing and fire protection systems, • Energy modeling experience is a plus

Description \n Unleash your curiosity. Solve what others can’t. \n At Leidos, we’re not just writing code—we’re decoding the unknown. Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing. \n \n We’re looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and pushing the boundaries of performance. You’ll join a cross-disciplinary team of scientists and engineers—experts in hydrodynamics, physics, acoustics, and signal processing—to build high-impact software that extracts meaning from massive, complex data sets. \n \n If you’re driven by innovation, energized by collaboration, and ready to see your algorithms power real-world missions—you belong here. \n \n\n What You’ll Do \n\n • \n Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms that power next-generation radar, optical, and infrared sensor systems. \n • \n Engineer high-performance backend systems for scientific computing and distributed environments. \n • \n Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency. \n • \n Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution. \n • \n Test, document, and evolve complex software in a Linux/Unix environment. \n • \n Work in a collaborative environment that values technical rigor, creativity, and growth. \n\n \n\n Required Qualifications \n\n • \n Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related field with 6+ years of backend software development experience; or Master’s with 4+ years. Equivalent experience may be considered in lieu of degree. \n • \n U.S. citizenship and ability to obtain a Top Secret clearance (active TS preferred). \n • \n Demonstrated expertise in C/C++ backend software development, including large-scale, performance-critical applications. \n • \n Proven experience with high-performance computing, parallel/distributed processing, and standards such as MPI. \n • \n Hands-on experience with GPU/CUDA programming and optimization. \n • \n Experience with AI/ML and LLM concepts and algorithms \n • \n Strong foundation in advanced mathematics or physics, with the ability to translate theory into functional code. \n • \n Proficiency in Linux/Unix development environments. \n • \n Familiarity with scientific programming, algorithm implementation, and system-level problem-solving. \n • \n Strong understanding of software engineering principles and best practices. \n • \n Excellent written and verbal communication and software documentation skills. \n\n \n\n Preferred Qualifications \n\n • \n Active Top Secret clearance \n • \n Familiarity with Agile development, object-oriented design, and modern software architecture. \n • \n Experience with Git, GitLab, MATLAB, and Fortran. \n • \n Knowledge of multi-threaded or shared-memory applications. \n\n \n\n Why Leidos? \n You’ll be part of a team that: \n\n • \n Combines science, technology, and imagination to solve real-world defense challenges. \n • \n Values your curiosity as much as your technical ability. \n • \n Invests in your professional growth through mentorship and hands-on innovation. \n\n \n At Leidos, your code doesn’t just run—it defends, detects, and delivers. \n If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:July 13, 2026\n\n \n \n \n \n \n \n \n For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. \n \n \n \n \n \n \n\n\n Pay Range:Pay Range $87,100.00 - $157,450.00\n \n The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. \n \n About Leidos \n \n Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. \n \n Pay and Benefits \n \n Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. \n \n Securing Your Data \n \n Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. \n If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. \n \n Commitment to Non-Discrimination \n \n All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. \n #Featuredjob

Key Responsibilities** - Author original physics questions that test deep conceptual understanding, not surface-level recall - Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement - Rate each question's difficulty: Med

Shift Start Time: 8:30 AM Shift End Time: 5 PM AWS Hours Requirement: 8/40 - 8 Hour Shift Weekend Requirements: As Needed On-Call Required: No Hourly Pay Range (Minimum - Midpoint - Maximum): $107.310 - $138.460 - $155.080 The stated pay scale reflects the range that Sharp reasonably expects to pay for this position. The actual pay rate and pay grade for this position will be dependent on a variety of factors, including an applicant's years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and employer business practices. What You Will Do The Medical Radiation Physicist is a position with three general functions. Under the direction of the Lead Medical Radiation Physicists, this position will be responsible for performing clinical medical physics, supervising dosimetrists, as well as performing administrative tasks to ensure the accurate and safe use of radiation machines and radioactive sources in Radiation Oncology. • Master's Degree Medical Physics, Radiological Physics or a closely related field, • 1 Year Current radiation oncology outpatient experience, • Doctor of Philosophy (Ph.D.) Medical Physics, Radiological Physics or a closely related field., • 3 Years Current radiation oncology outpatient experience, • Board certification or board eligible in Therapeutic Radiological Physics by the American Board of Radiology or American Board of Medical Physicists. Must be certified within two years of hire date., • Clinical physics tasks Assists with acceptance testing and commissioning of new equipment. Provides important consultant function regarding patient radiation treatment planning proposing several alternatives, and discusses probable procedure with physicians. Implements new procedures, plans new and innovative devices to improve patient care and treatment, i.e., implemented new isocentric breast technique allowing machine patient work load to be evened out maximizing productivity of staff. Consults, advises, and provides direction for staff and physicians in patient dosimetry calculation, setting up of treatment portals and ensures treatment delivery is consistent with physicians orders. Supervises and instructs patient treatment planning for dosimetrists in all types of radiation therapy modes and applications., • Medical equipment management Responsible for ensuring that the equipment requirements of the radiation oncology departments are maintained at the highest level and updated as required. Provides follow up testing after repair when necessary to ensure machines return to manufacturer's specifications. Supervises field service engineers and coordinates repair to minimize machine down time., • Quality assurance Performs Quality Control Measurements, compares results to baseline values and initiates appropriate corrective action (if necessary). Responsible for performing procedures in place for measuring performance levels of the equipment and required to organize the physics department to meet all state, federal and accreditation requirements. Exercises responsibility for accurate specification of dose delivered by each of the x-ray and radioactive sources. Collaborates with the RT staff in carrying out a continuous program of calibration measurements to maintain such data current at all times. Reviews patient charts to ensure treatment is delivered is consistent with physician orders., • Radiation safety Consults frequently with staff regarding problems relative to radiation safety and radiation protection. Has responsibility for inspecting and implementing all provisions and revisions of procedure relative to California Environmental Health and Safety Regulations, particularly as applied to patients as well as all professional and technical staff. Serves as a member of the Radiation Safety Committee. Acts as department backup representative for State DOHS inspections and regulatory compliance issues., • Training and education Provides continuing education lectures to both the technologist and dosimetrist staff, as well as to associated allied personnel within the Radiation Oncology Departments. Assesses performance of dosimetry staff for annual employee evaluation. Contributes to the education and training of staff dosimetrists. Provides input for department annual budget and resource allocation., • Comprehensive knowledge of radiation therapy patient care., • Critical thinking and excellent interpersonal skill, written and verbal., • Ability to manage time and staff. Sharp HealthCare is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability or any other protected class

Hours: Shift Start Time: 8 AM Shift End Time: 4:30 PM AWS Hours Requirement: 8/40 - 8 Hour Shift Additional Shift Information: Weekend Requirements: As Needed On-Call Required: No Hourly Pay Range (Minimum - Midpoint - Maximum): $105.150 - $135.680 - $151.960 The stated pay scale reflects the range that Sharp reasonably expects to pay for this position. The actual pay rate and pay grade for this position will be dependent on a variety of factors, including an applicant's years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and employer business practices. The Lead Medical Radiation Physicist is a leadership position within the radiation oncology department. Under the direction of the Manager of the Radiation Oncology, this position is responsible for directing and supervising clinical medical physicists, dosimetry staff, as well as performing administrative tasks to meet the goals of quality, safety and regulatory requirements. This position may require travel to other Sharp HealthCare facilities. • Master's Degree Medical Physics, Radiological Physics or a closely related field. Or, • Doctor of Philosophy (Ph.D.) Medical Physics, Radiological Physics or a closely related field., • 3 Years Radiation oncology outpatient experience, • ABR Medical Physics Certification - American Board of Radiology -REQUIRED, • 5 Years Radiation oncology outpatient experience, • 1 Year Supervisory experience, • Financial accountability Coordinates and manages acceptance testing and commissioning of new equipment. Collaborates with physics staff to maintain accurate documentation of equipment calibration as required. Available to respond to equipment problems and maintenance. Coordinates with vendor any necessary equipment repairs. Advises administration on equipment replacement needs. Works with physics staff to ensure that the equipment requirements of the radiation oncology departments is maintained at the highest level and updated as required. Analyzes equipment problems with physics staff to recommend parts replacement, modification or full unit replacement, preparing extensive and highly complex detailed equipment specifications., • Human resources management Promotes staff accountability and empowerment by utilizing available resources to educate and guide radiation staff. Prioritize daily divisional functions, assign tasks and oversee the functions of subordinates to ensure quality and consistent outcomes and optimal departmental performance. Hires, coaches, counsels, trains and conducts timely annual performance appraisals. Manages timecards and other operational requirements for direct reports. Provides an environment that challenges and creates opportunities for recognition of an individual's worth and ability to meet and exceed standards. Leads and/or participates on task forces to support the needs of the department. Ensure department strives toward systemization through procedure review and implementation. Exhibits team building, collaboration, and models the Sharp Mission, Values and Philosophy. Advise and participate in capital and operating budget preparation Development, implementation and supervision of quality control programs in the radiation oncology department. Research and development of new devices and modalities for improved diagnostic and therapeutic uses of radiation., • Participates in care planning Provides important consultant function regarding patient radiation treatment planning proposing several alternates, and discusses probable procedure with physicians. Exercises primary responsibility for accurate specification of dose delivered by each of the x-ray and radioactive sources. Supervises and instructs patient treatment planning for medical dosimetrist in all types of radiation therapy modes and applications. Consults, advises, and provides direction for staff and physicians in patient dosimetry calculation, and setting up of treatment portals. Develops new procedures, plans new and innovative devices to improve patient care and treatment. Assists in preparing graphic dosimetry data for incorporation into each patient's permanent treatment record. Consults with and advises staff, medical staff and administration regarding linear accelerator, ortho voltage equipment selection, simulators, and treatment planning systems., • Quality and safety Supervises and collaborates with the staff to ensure continuous calibration measurements. Responsible for initial development of quality assurance program and record keeping techniques for on-going quality assurance and regulatory agency review. Responsible for inspecting and implementing all provisions and revisions of procedure relative to California Environmental Health and Safety Regulations, particularly as applied to patients as well as all professional and technical staff. Responsible for establishing, developing and monitoring procedures in place for measuring performance levels of the equipment and required to organize the physics department to meet all Joint Commission requirements. Responsible for monitoring, assuring, assessing the performance of dosimetry staff, CT therapist and radiation therapist to ensure adequate performance of their duties and review of the performance. Advises Administration and Medical Director regarding radiation protection procedure and consults frequently with staff regarding problems relative to radiation safety and protection. Membership on applicable committees, such as the Radiation Safety Committee, Continuous Quality Improvement (CQI) Committee, and other safety and Cancer related Committees., • Training and education Capable of teaching all tasks required by the physics department to the dosimetrists and staff radiation therapists. Provides continuing education lectures to both the technology and physics staff, as well as to associated allied personnel within the cancer center. Assures that all pertinent information is provided to staff through staff meetings and other forms of formal and informal communication. Actively supports leadership decisions and is accountable for ensuring department compliance. Provides leadership and supervision of technical staff to provide for the production of high quality work. Reports problems relating to staff, morale, and work method procedures to manager. Assists manager with preparation of the budget. Supervises all treatment procedures and patient care activities of the technical staff. Assist manager with competencies and annual evaluations. Sign on Bonus - This position is eligible for a $20,000 sign on bonus for qualified External Candidates with 2 years' Radiation oncology experience. Eligibility Requirements: • 2 years of related experience or all hires The following are not eligible for hiring incentives: • Current Sharp employees, • Rehires/Reinstates that are rejoining the organization less than 12 months from the last date of employment with Sharp Healthcare To remain eligible for your sign on incentive the following criteria must be met: • Must remain in original hired FTE status and shift (if specified in offer letter), • Must remain in original department/specialty., • Must remain in original Job Title, • Transfers to a non-bonus eligible department or position may result in forfeiting remaining incentive bonus. $2500 Employee Referral Bonus for eligible Sharp employees. Employee Referral Incentive Eligibility: • Referral must list the name of the Sharp employee that referred them on the job application., • External referrals only, • If referring a former Sharp employee must be more than 12 months since last date of employment with Sharp Healthcare at the time of referral. Sharp HealthCare is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability or any other protected class

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.At Northrop Grumman, we Define Possible. We are a passionate community of engineers and leaders, a creative community of scientists and researchers, a diverse community of human beings, all driven to pioneer the future. And in Survivability, that future is bright… Or, from the enemy’s perspective, it is as dark as the cover of a moonless night.Now, imagine sitting in a stadium, or outside at a parade, and the next generation of Stealth Technology flies overhead, drawing a roar of admiration from the crowd. Imagine being able to turn to the person next to you and saying “I had a hand in that.” At Northrop Grumman Aeronautics Systems and in Survivability Engineering, that could be Your Possible.We are tasked with developing, testing, and implementing new materials, technologies, and concepts, that enable the most lethal, intelligent, and collaborative systems to penetrate and operate in enemy airspace with impunity. We work hand in hand with a broad swath of other engineering disciplines to design, develop, manufacture, and sustain these systems. Our responsibilities span the full Systems Engineering lifecycle—from research and development to modeling and analysis, from static / component test to dynamic flight test, from manufacturing floor support to field repairs and maintenance, and more.We work across multiple spectrums—from RF (Radio Frequency), to IR (Infrared) and Visual, to Acoustic. Our engineers work in various environments—behind desks, in highly specialized labs, at indoor and outdoor test and measurement ranges, and at overseas operational locations. Our team is critical to the cradle-to-grave success of our cornerstone programs and the programs of the future, and your role on our team would be equally critical to our success as an organization. Without Survivability Engineers, there is no Low in Low Observable. Without us, there is no Stealth in Stealth Bomber. Join us, and let’s Define Survivable together!Northrop Grumman is an industry leader in Stealth Technology. We are involved in all phases of development, production, and maintenance of Stealth Aircraft. We are currently looking for Engineer/Principal Engineer Survivability - Infrared Technology to work on exciting and challenging projects. This position will be located on-site in either Redondo Beach, CA or San Diego, CA.We need your help to engineer at the edge of the impossible!We are looking for an mid-career optics engineer that can bring their experience in lens design and integration to our end-to-end survivability team!What You’ll Do:Bring your experience in optical design to our team, acting as the responsible engineer for lenses and other optical components for cutting-edge technologies.Learn to model, simulate, and reduce the detectability of aircraft in the electromagnetic, infrared, visual and acoustic spectrums.Thrive in a fast-paced collaborative work environment with diverse assignments.Get your hands dirty and verify your predictions by building and testing physical models.Take responsibility for achieving customer goals and balancing the design in an Integrated Product Team (IPT) environment.Basic Qualifications:Educational/ Experience Requirements:Engineer (LV2): Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 2 years of related engineering experience; OR a Master’s degree in a STEM discipline and 0 years of related engineering experiencePrincipal Engineer (LV3): Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master’s degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 1 years of related engineering experience.Demonstrated experience in design of optical systems using applied optical theory and raytrace methods - initial concept to manufacturable hardware designDemonstrated experience using tools such as Zemax, FRED, or Code V.Familiarity with NX and/or other computer aided design (CAD) software.Familiarity with C++, CUDA, Python, and/or other programming languages.Strong interpersonal communication and technical writing skills.Must have an Active U.S. Government in-scope Secret Security ClearanceMust have the ability to obtain and maintain Special Program Access (SAP) clearance, within a reasonable amount of time as determined by business needsPreferred Qualifications:Demonstrated experience designing non‑rotationally symmetric optics.Experience in infrared signature analysis using test data and/or infrared simulation tools.Demonstrated software development experience in C++, CUDA, or Python.Understanding of infrared radiation physics as it relates to aircraft survivability.Expertise in the design, planning, and execution of both laboratory and in-flight testing of infrared technologies.Experience with proposal writing and project cost estimation.Experience in project and/or supply-chain management.A current active U.S. Government in-scope DoD Top Secret security clearancePrimary Level Salary Range: $101,000.00 - $151,400.00Secondary Level Salary Range: $125,300.00 - $187,900.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.SummaryLocation: United States-California-Redondo Beach; United States-California-San DiegoType: Full time

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.The Maritime and Acoustics Department in MITRE’s Signals and Electronics Division is a cross-domain team of engineers and scientists working at the intersection of underwater acoustics, HF propagation, sonar analysis, acoustic communications, and prototype sensing systems. We work on some of the most technically demanding problems in undersea and maritime defense, designing and testing prototype systems, developing propagation models and sensing algorithms, and advancing acoustic communications for contested environments, all in direct support of government sponsors with real-world mission impact. Our work spans physics-based modeling and algorithm development, hands-on hardware prototyping and evaluation in the BlueTech Lab, and field testing of systems in operational environments.Job Description:We are seeking a Senior Underwater Sensors Engineer to contribute across research and development, modeling and simulation, rapid prototyping, and testing and evaluation in support of national maritime defense priorities. Desired backgrounds span acoustic communications, maritime sensing, and oceanography, as well as electrical, computer, mechanical, or ocean engineering disciplines with a foundation in signals, systems, or applied physics. The ideal candidate will possess strong technical leadership in their established areas of expertise, while also being confident contributing to and leading work across domains.Roles and Responsibilities: Design and develop signal processing algorithms for underwater sensing and acoustic communication systemsConduct physics-based and empirical modeling of acoustic propagation and undersea sensor system performanceRapidly prototype sensors, communication platforms, and embedded underwater systems, advancing hardware from concept through field-ready integrationPlan and execute field testing and BlueTech Lab evaluations, translating test results into actionable findings for government sponsorsContribute to the design of transducers and acoustic sensors for small form-factor and autonomous underwater system applicationsAnalyze complex, multi-dimensional maritime datasets and deliver clear, defensible recommendations that sponsors can act onSupport sponsor engagement by communicating technical findings, shaping research directions, and responding to emerging mission needsCollaborate across department technical domains including sonar analysis, multi-domain wave propagation, and acoustic communication and sensingBasic Qualifications:Typically requires a minimum of 5 years of related experience with a bachelor’s degree; or 3 years and a master’s or a PhD with relevant experience who can immediately contribute; or equivalent combination of related education and work experience.BS, MS, or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, Ocean Engineering, Physics, Mathematics, or related field. Candidates must have a strong technical background with experience in one or more of the following: acoustic, radar, and/or sonar signal processing, algorithm development, detection and estimation theory, wave propagation, numerical methods, experimental data analysis, prototype development, and/or communication theory. Experience using analytical software tools such as MATLAB or Python for modeling, simulation, and analysis of physical systems. This position requires an active Secret security clearancePer the U.S. Government’s eligibility requirements for a clearance, U.S. Citizenship is required. This position requires a minimum of 50% hybrid on-site Preferred Qualifications: Active Top Secret/SCI clearance. PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, Ocean Engineering, Physics, Mathematics, or related field. Expertise in acoustic, radar, and sonar signal processing, and prototype development. Experience with field testing of maritime devices. Ability to foster effective working relationships with internal and external parties. Experience with US government systems and US government research ecosystem. Possess an external network of government sponsors and contacts. Proactive self-starter with strong analytical, problem solving, communication, and interpersonal skills.This requisition requires the candidate to have a minimum of the following clearance(s):SecretThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):SecretSalary compensation range and midpoint:$126,800 - $158,500 - $190,200 AnnualWork Location Type:HybridCommitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.Benefits information may be found here.Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only. Job SummaryJob number: R117132Profession: Engineering

About MetronMetron is an employee-owned company dedicated to delivering innovative solutions for the most challenging national security problems. For over 40 years, our principled approach to problem-solving has yielded creative solutions at the intersection of advanced mathematics, computer science, physics, and engineering. Our people are leaders in their technical fields and are passionate about solving challenging problems. We look for individuals who share this same passion and can apply their experience in real-world settings. We are seeking a talented software engineer with a strong computer science background to assist in design, development, integration, testing, and QA of a complex cloud-based software planning system. You will be responsible for writing backend infrastructure and frontend web applications, including the development of APIs and software documentation. You will be part of a distributed development team working primarily on-site in a government lab alongside external development partners and other stakeholders. The ideal candidate has experience writing well-designed, maintainable, and extensible code. Required Qualifications Bachelor’s degree in Computer Science, Mathematics, Physics, Applied Math, or related field At least 3 years of experience as a Software Engineer or Developer Active Secret Clearance Experience designing and implementing APIs and integrating software systemsProficiency in Java, TypeScript and object-oriented programmingFamiliarity with full-stack web application development Excellent written and verbal communication skills, including the ability to clearly convey design concepts Ability to work in a collaborative team environment alongside partner organizationsUS CITIZENSHIP REQUIRED; Successful candidates will be subject to a security investigation and must meet eligibility requirements for access to classified information Desired Qualifications Experience with MongoDB, RabbitMQ, Spring Boot, React, Redux, WebGL and/or OpenGL Familiarity with AWS, Docker, Kubernetes, Git, and CI/CD processes Experience developing formal software documentation (e.g. Software Designs and Interface Design Descriptions)Math background including Probability/Statistics, Linear Algebra, Multivariate Calculus Experience designing and implementing user interfaces Experience in DevSecOpsExperience with troubleshootingPrior experience working with US Navy or other Department of Defense services/agencies Active TS/SCI Clearance Position Location: onsite, in office in San Diego, CA Metron is an Equal Employment Opportunity (EEO) employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religious, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.VEVRAA Federal Contractor

Job Description ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible. ABOUT THE ROLE This role builds what the rest of Elemynt’s engineering runs on: the cloud infrastructure, the core platform services, and the observability that keeps the product reliable. The platform runs wherever each customer chooses, whether that’s their cloud, their own compute, or a hybrid, and usually inside environments they operate themselves. That’s the hard part. The foundations you build have to be reproducible, measurable, and carry their own security wherever they land. This is a deeply hands-on, build-focused senior role. In this role, you’ll design and own the cloud substrate, the services at the core of the product, and the metrics, logs, and traces that keep all of it visible. Those building blocks are what gets packaged and deployed wherever the platform needs to run, so the care you put in shows up in every install. How fast and how safely the whole company can ship depends on how solid these foundations are. WHAT YOU WILL DO • Build and own the cloud infrastructure foundations (networking, identity and access, Kubernetes, and infrastructure-as-code) that every service and workload runs on., • Design and build the core platform services and internal APIs the product is made of, meant to run reliably wherever it’s deployed., • Own the cloud deployment process end to end: the pipeline that turns platform services into versioned, reproducible artifacts and rolls them out with staged releases and clean rollbacks., • Stand up the observability layer: metrics, logs, traces, dashboards, and alerting that make a failing service quick to find and diagnose., • Instrument service-level objectives and health signals so reliability is measurable and regressions show up before they reach a customer., • Keep the foundations portable and reproducible, so the platform stands up the same way across every environment it runs in., • Produce the deployment-ready building blocks (container images, Helm charts, infrastructure-as-code modules) that make installs and upgrades clean and repeatable wherever the platform runs., • Harden the platform’s foundations: secrets, certificate handling, and network boundaries that protect the software and its data wherever it runs. WHAT WE ARE LOOKING FOR • Bachelor’s or Master’s degree in Computer Science or a related engineering field, and 6+ years building and shipping production software, with real depth in cloud infrastructure and platform engineering., • Deep hands-on experience building cloud infrastructure with Kubernetes and infrastructure-as-code (Terraform or similar) on at least one major cloud (AWS, GCP, or Azure)., • Experience designing and operating core backend services and APIs that other engineers and systems depend on., • Direct ownership of a cloud deployment process: build and release pipelines, versioned artifacts, and safe, reproducible rollouts., • Hands-on experience building observability into production systems (metrics, logs, and traces) and using it to debug real incidents (Prometheus, Grafana, OpenTelemetry, or similar)., • Strong software-engineering fundamentals and hands-on coding in a systems or backend language (Go, Python, Rust, or similar): this role builds the platform in code., • Experience defining service-level objectives and designing for reliability, making systems observable and reproducible from the start., • Comfort building foundational systems others depend on in an early-stage, ambiguous environment, making sensible scope, speed, and quality trade-offs. NICE TO HAVE • Experience building platform components that run across varied deployment environments, including customer-controlled ones., • Experience running workloads across more than one runtime: cloud Kubernetes plus HPC schedulers (Slurm or similar) or bare metal., • GPU scheduling or multi-tenant cluster experience., • GitOps and progressive-delivery patterns (ArgoCD, Flux, staged rollouts)., • Experience packaging or serving ML models, or supporting ML and data workloads on a shared platform., • Exposure to scientific computing, simulation, or other large-scale technical workloads. LOCATION Singapore or United States. We’re hiring in both to reach the right person. Work model is on-site or hybrid, set per location. CLOSING NOTE If you don’t tick every box but this is clearly your kind of work, get in touch.

Job Description ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible. ABOUT THE ROLE This role builds the layer every LLM-powered feature on our platform is built on: one interface over many model providers, the agent orchestration that runs multi-step workflows, the retrieval and prompt systems that ground them, and the tracing and evaluation that keep them honest. It is foundational and deeply hands-on. In this role, you’ll design agents that plan, call tools, and reason over the results, then make them dependable in production: traceable, evaluated, and safe to run with a person in the loop where it counts. Because the platform runs inside customers’ own secure environments, on their compute clusters, in their cloud, or across a hybrid of the two, the reasoning it produces has to stay auditable and its guardrails have to travel with the software. Every LLM feature the team ships stands on this layer: what it can do sets what they can build, and how faithfully it reasons sets how far they can trust it. WHAT YOU WILL DO • Build the provider abstraction that lets any workflow call, swap, or add a model provider by configuration, across commercial APIs and self-hosted endpoints, with structured-output validation, retries, and cost tracking., • Build the agent orchestration where a planning agent dispatches specialized sub-agents in parallel on a stateful framework, with durable checkpoints, conditional branching, and the context and memory management that keeps multi-step workflows coherent across long task horizons., • Build human-in-the-loop checkpoints so low-confidence or high-stakes steps route to a person before an agent proceeds., • Wrap existing platform capabilities as typed, registered tools the agents call, with a clean boundary between the agent layer and the systems it builds on., • Design retrieval end to end, from ingestion, embeddings, and chunking through hybrid search and reranking, and assemble the context that grounds each model call., • Build the prompt layer: versioned prompts, few-shot sets, and captured reasoning, so every change is tracked and every call is inspectable., • Expose agents and guardrailed model access as tools behind one integration point that backend services, the frontend, and notebooks all consume., • Instrument every model call, tool invocation, and agent run as traced spans with prompt, model, and tool lineage, so behavior and cost stay debuggable., • Build the evaluation framework, deterministic trace metrics alongside LLM-as-judge scoring for faithfulness, that gates changes and catches regressions before they ship. WHAT WE ARE LOOKING FOR • Bachelor’s or Master’s degree in Computer Science or a related engineering field, and 5+ years building and shipping production software, with real depth building LLM or agent systems in production., • Strong Python and solid engineering practice: async code, typing, testing, modular design, and code review, plus a track record of shipping systems others depend on., • Hands-on experience building agentic or LLM systems in production: orchestration loops, tool-calling, structured outputs, and context and memory management for reliable long-running workflows., • Experience working across multiple model providers behind a single abstraction, with routing, fallback, and a feel for the cost and latency trade-offs., • Experience building retrieval systems end to end: embeddings, chunking, hybrid search, reranking, and vector databases., • Experience with LLM evaluation and guardrails: building eval sets and harnesses, LLM-as-judge scoring, regression gating, and output-quality and safety checks., • Experience instrumenting LLM systems for observability: tracing model and tool calls, versioning prompts, and using traces to debug and improve real behavior., • Comfort owning ambiguous systems end to end in a fast-moving early-stage environment. NICE TO HAVE • Stateful agent-orchestration frameworks such as LangGraph or AutoGen, and durable-execution engines such as Temporal for long-running workflows., • Experience building MCP tools or servers, or similar tool-calling integration layers., • LLMOps and evaluation tooling such as MLflow or Langfuse for tracing, prompt versioning, and evaluation., • Human-in-the-loop and interrupt-driven agent patterns for review and control., • Applying LLMs to scientific or technical workflows, grounding reasoning in tool outputs and structured data., • Fluency with modern AI coding assistants, or open-source contributions to AI or agent tooling. LOCATION Singapore or United States. We’re hiring in both to reach the right person. Work model is on-site or hybrid, set per location. CLOSING NOTE If you don’t tick every box but this is clearly your kind of work, get in touch.

Job Description ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible. ABOUT THE ROLE This role owns the LLM systems behind our platform: the agents and fine-tuned models that ship as product, and the engineering that keeps them reliable — evaluation, tracing, and production-quality services. It's deeply hands-on, from model internals to shipped software. The platform runs inside our customers' own secure environments: their compute, their cloud, or a hybrid. So the LLM layer has to work with commercial APIs and self-hosted models alike, and carry its own safeguards wherever it lands. Every LLM capability we ship stands on this work. WHAT YOU WILL DO • Build and ship LLM-powered capabilities end to end: prototype, evaluate, deploy, and iterate them into production services users rely on., • Design agents that plan and carry out multi-step work: tool calling, structured outputs, durable state, and the judgment to know when an agent is the wrong tool., • Build retrieval that gives models the right context: ingestion, chunking, embeddings, hybrid search, reranking., • Fine-tune open-weight models with LoRA, QLoRA, or full-parameter tuning on multi-GPU, curating the training data and choosing the method by task, compute budget, and target., • Build evaluation loops that gate what ships: automated scoring, LLM-as-judge, and regression tracking against curated test sets., • Instrument model calls and tool use with tracing, so quality, cost, and failures stay debuggable in production., • Turn LLM capabilities into clean APIs and reusable tooling that other engineers build on. WHAT WE ARE LOOKING FOR • Bachelor's or Master's degree in Computer Science or a related engineering field, and 5+ years building and shipping production software, including deep hands-on work building LLM-powered systems in production., • Strong Python and a track record of shipping reliable services: async, HTTP and streaming APIs, testing, code review., • Production experience with LLMs: prompting and context engineering, tool calling, structured output, and the latency and cost work that keeps them usable., • Hands-on experience designing and shipping agents: the loop, the tools, context, memory, and where they fail. A framework such as LangGraph or equivalent; structured outputs in Pydantic or JSON Schema., • Experience building RAG systems: embeddings, chunking, hybrid search, reranking, and a feel for what actually moves retrieval quality., • Direct experience fine-tuning open-weight models (LoRA, QLoRA, or full-parameter) on multi-GPU, including curating and formatting the training data., • Experience with LLM evaluation and guardrails: LLM-as-judge or automated scoring, regression tracking, and tracing over agent runs., • Experience building shared LLM tooling or platform components that other engineers build on, and comfort owning ambiguous systems end to end in an early-stage environment. NICE TO HAVE • Self-hosted inference with vLLM, TGI, or SGLang, served behind an OpenAI-compatible interface., • Interoperability standards for tools and agents, such as MCP., • Retrieval over structured data: knowledge graphs, hybrid search, reranking at scale., • LLMs applied to scientific or other technical data; experience making APIs and tool surfaces easy for agents to call reliably., • Contributions to open-source AI/ML: agent frameworks, eval tooling, RAG, fine-tuned models. LOCATION Singapore or United States. We're hiring in both to reach the right person. Work model is on-site or hybrid, set per location. CLOSING NOTE If you don't tick every box but this is clearly your kind of work, get in touch.