June 23, 2026
Staff Scientist PIC Laser
Senior • On-site
163,428 - 213,972 USD/yr
Pleasanton, CA
Location: Pleasanton, CA (onsite)
Travel: Up to 5%
The Role
As a PIC Laser Scientist, you will bridge the gap between fundamental optical physics and scalable chip-scale technology. You will be responsible for the end-to-end development of custom laser systems, evolving them from initial concept through system-level integration. Your work will focus on architecting the transition of high-precision frequency combs and ultra-low-noise systems from traditional discrete components to advanced Photonic Integrated Circuit (PIC) platforms, driving innovation for quantum timing, atomic clocks, and inertial sensors.
Responsibilities
- System Architecture: Develop custom laser systems from fiber-based oscillators to integrated chip-scale architectures.
- PIC Design & Simulation: Design and simulate PIC layouts optimized for high-Q micro-resonators and dispersion-engineered nonlinear optics using SiN, TFLN, and Tantala.
- Translation & Integration: Architect migration of frequency combs and low-noise systems from discrete fiber/free-space components to PIC platforms.
- Assembly & Characterization: Build and characterize systems including fiber spooling, MOPA configurations, and nonlinear conversion stages.
- Precision Metrology: Characterize frequency noise, phase noise, and Allan deviation at benchtop and chip levels.
- Frequency Stabilization: Develop testing protocols for PDH locking and f-2f self-referencing.
- Cross-Functional Collaboration: Integrate laser systems into atomic clocks and quantum timing sensors.
Requirements
- 3+ years of experience with ultra-stable cavities, frequency combs, or atomic clocks.
- PhD in Physics, Electrical Engineering, or related field focused on atomic/optical physics, frequency metrology, or integrated photonics.
- Hands-on experience measuring RIN, frequency noise, and phase noise using Phase Noise Analyzers and high-speed RF equipment.
- Experience with supercontinuum generation or SHG in nonlinear media.
- Proficiency in fiber fusion splicing and high-tolerance free-space optical assembly.
- U.S. Person status required for export control compliance.
Benefits
- Platinum-level family health coverage (medical, dental, vision)
- Health and dependent care FSA
- Employer 401(k) contributions
- 20 days PTO and 11 paid holidays
- Paid parental leave
- Fully stocked kitchen
The approximate base salary range is $163,430 to $213,972 per year. Total compensation includes base, bonus, equity, and benefits, and varies based on qualifications and experience.
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San Jose, CA
🏢 Summary: Staff CPU Architecture & Performance Research Engineer role focused on deep microarchitectural performance analysis and optimization of current and next-generation RISC-V CPU cores. The position involves building performance models, analyzing real-world workloads, and driving data-driven architectural improvements in collaboration with cross-functional hardware and software teams. The work directly influences core design decisions and may lead to patents and publications. 🗂️ Requirements: Master’s or PhD in Computer Engineering, Computer Science or related field, 5+ years of experience in CPU microarchitecture or performance engineering, Experience with RISC-V, ARM or x86 architectures, Strong knowledge of out-of-order execution, branch prediction, pipelines and speculation, Strong knowledge of cache coherence, memory systems, prefetching and NUMA, Hands-on experience with architectural simulators, Strong programming skills in C/C++ and Python, Experience analyzing large performance datasets and traces, Prior tapeout experience 📃 Skills: RISC-V, ARM, x86, gem5, C, C++, Python, SPEC, NUMA, SIMD 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.Staff, CPU Architecture & Performance Research Engineer What You'll Do Architecture Research Lab is looking for Staff CPU Architecture & Performance Engineer to drive detailed performance analysis and architectural optimization for current and next-generation CPU (RISC-V) cores. This role focuses on deep ownership of performance-critical micro-architectural domains, workload analysis, and data-driven recommendations that influence core architecture decisions. You will work closely with architects, design, compiler, and system teams to evaluate trade-offs, identify bottlenecks, and improve performance across real-world workloads Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy Job ID: 42850 Own performance analysis for one or more CPU microarchitectural domains (e.g., frontend, execution engine, memory subsystem). Build, extend, and validate architectural performance models and simulators. Perform CPI/IPC breakdowns and root-cause performance bottlenecks. Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models. Characterize workloads and benchmarks (SPEC, server, client, AI/ML, internal traces). Translate performance data into clear architectural recommendations. Work leading to patents and publication. What You Bring Master's in Computer Engineering, Computer Science or related filed with 8+ years of experience or PhD in Computer Engineering, Computer Science, or related field with 5+ years of experience. 5+ years of experience in CPU microarchitecture and/or performance engineering. Experience with RISC-V, ARM or X86 architectures. Strong understanding of: Out-of-order execution, branch prediction, pipelines, and speculation Cache coherence, memory systems, prefetching, and NUMA effects Hands-on experience with architectural simulators (like gem5). Strong programming skills in C/C++ and Python. Experience analyzing large performance datasets and traces. Familiarity with compiler optimizations and hardware/software co-design.. Proven ability - prior tapeout experience. Preferred Qualifications Background in power/performance/area (PPA) trade-off analysis. Experience / Familiarity with SIMD / Vectors / VME for AI inference workloads.. Prior leadership guiding junior engineers. Prior patent / publication experience. You're inclusive, adapting your style to the situation and diverse global norms of our people. You approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-SF1What We OfferThe pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.Base Pay Range$163,000—$253,000 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Applicant Privacy Policyhttps://semiconductor.samsung.com/about-us/careers/us/privacy/
Technology

Freeform
Principal FPGA Engineer
Senior
On-site
Los Angeles, CA
250,000 - 350,000 USD/yr
🏢 Summary: Principal FPGA Engineer role focused on architecting and leading development of a massively parallel, ultra-low latency FPGA compute platform for real-time ML inference and industrial laser control. The position involves building distributed FPGA systems integrated with GPUs, developing advanced RTL and signal processing pipelines, and collaborating across software and hardware engineering teams. Full-time onsite work in Hawthorne with competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: Bachelor's degree in computer engineering, electrical engineering, computer science, or related field, 15+ years of FPGA development experience, Experience with SystemVerilog or VHDL, Familiarity with Xilinx Vivado/Vitis toolchain, Experience with high-speed IO, Experience with board bring up, Ability to work full-time onsite 📃 Skills: FPGA, SystemVerilog, VHDL, Vivado, Vitis, Xilinx, Zynq, MPSoC, RTL, DSP, Linux, SoC, C, C++, GPU 🏢 Description: Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, the company enables complex hardware to be designed, built, and scaled without limits. As a Principal FPGA Engineer, you will architect and lead development of a next-generation compute platform, a distributed system of hundreds of FPGAs orchestrating many dozens of high-power lasers in real time. This role focuses on processing hundreds of thousands of frames per second through a real-time ML inference pipeline with ultra-low latency requirements. The position involves leveraging cutting-edge silicon including the Xilinx Zynq Ultrascale+ MPSoC and tightly coupling FPGA fabric with GPUs to build a heterogeneous computing platform. The role centers on pioneering FPGA-based real-time machine learning in an industrial manufacturing environment and contributing core IP work at the frontier of FPGA computing. 3D printing experience is not required. The role seeks collaborative engineers who enjoy solving difficult technical challenges. Responsibilities: - Architect a massively parallel, ultra-low latency FPGA pipeline capable of processing hundreds of thousands of frames per second across a fleet of hundreds of FPGAs - Lead cross-disciplinary engineering efforts spanning software, electrical, and process engineering to advance FPGA capabilities at the system level - Design and implement real-time ML inference capability directly on FPGA fabric - Develop novel RTL components and IP blocks focused on timing closure, resource utilization, and deterministic latency - Implement high-performance signal processing algorithms on FPGA, including custom arithmetic, filtering, and feature extraction at line rate - Design deterministic, microsecond-precision controllers for high-power laser systems operating under strict real-time constraints Basic Qualifications: - Bachelor's degree in computer engineering, electrical engineering, computer science, or related field - 15+ years of FPGA development experience in SystemVerilog or VHDL - Familiarity with Xilinx Vivado/Vitis toolchain development environment - Experience with high-speed IO, board bring up, and hardware-centric FPGA development Nice to Have: - Master's degree in computer engineering, electrical engineering, computer science, or related field - Experience with image processing or DSP - Experience with Xilinx Zynq Ultrascale+ MPSoC - Experience with embedded software development including embedded Linux and SoC-based architectures - Experience implementing advanced computations on FPGAs - Experience with heterogeneous computing platforms and high-speed data acquisition systems - Familiarity with C/C++ or other programming languages - Excellent verbal and written communication skills - Creative problem-solving ability using first-principles reasoning Location: Based in Hawthorne, the role requires full-time onsite presence five days a week with very limited exceptions. What We Offer: Benefits: - Significant stock option packages - 100% employer-paid Medical, Dental, and Vision insurance - Life insurance - Traditional and Roth 401(k) - Relocation assistance provided - Paid vacation, sick leave, and company holidays - Paid parental leave and extended transition back to work for birthing parent - Free daily catered lunch and dinner - Casual dress and flexible work hours - Regular catered team building events Compensation: The estimated salary range for this role is $250,000-$350,000 per year, in addition to stock options. Compensation is based on experience, education, and demonstrated skills.
Technology

Space Kinetic
Lead Systems Engineer
Senior
On-site
Los Angeles, CA
🏢 Summary: Lead Systems Engineer role focused on owning launch vehicle system requirements, architecture development, and system-level integration for advanced space missions. The position involves leading multidisciplinary teams, managing verification and validation, and supporting launch campaigns and flight operations. This is a senior, hands-on technical leadership role in a fast-paced aerospace environment requiring security clearance eligibility. 🗂️ Requirements: Bachelor's degree in Aerospace, Mechanical, Electrical, Systems Engineering or related field, 10+ years of engineering experience in aerospace, defense, launch vehicles, spacecraft, missile, or high-reliability systems, Experience developing and managing system requirements, Experience leading multidisciplinary technical teams, Experience with system integration, verification, and validation, Strong understanding of systems engineering principles and lifecycle development, U.S. citizen or lawful permanent resident (export regulations compliance), Ability to obtain and maintain Government Security Clearance 📃 Skills: MBSE, Cameo, MagicDraw, Capella, DOORS, Jama, ICDs, SRR, PDR, CDR, TRR, FRR, GNC, Avionics, Propulsion, SystemsEngineering, Verification, Validation 🏢 Description: A New Paradigm For Space Operations. Who We Are: Space Kinetic is a dual use space technology startup building a completely new architecture for space operations – one that brings the advantages of proliferated drone technology (low-cost, operationally flexible, attainable, distributed) to space missions while reducing the ecosystem's reliance on consumable fuel. In a world where many companies are focused on incrementally improving the status quo, we are focused on creating something entirely different – an architecture underpinned by new first principles to meet the opportunities and challenges of the third space age head-on. Our goal is to move away from one-to-one space architectures – where each satellite in a constellation has one (or a small # of) primary payloads attached to the bus -- and unlock a 'one-to-many' system, where each satellite has a large number of payloads which can be deployed from their host spacecraft at high velocities without firing a thruster. This is not a role for someone looking for a traditional 40-hour work week. Space Kinetic is building ambitious, first-of-its-kind technology, and that requires urgency, ownership, and a high level of commitment to changing the foundational assumptions for everything we do in space. What You'll Do: We are seeking a Lead Systems Engineer to be a key contributor to our current programs. Own the development, allocation, and management of launch vehicle system requirements. Lead vehicle-level architecture development and system design trades. Define and maintain requirements traceability from mission objectives through subsystem implementation and verification. Coordinate technical activities across propulsion, structures, avionics, software, GNC, manufacturing, and test organizations. Lead system-level integration efforts and identify interface requirements between vehicle subsystems. Develop and maintain Interface Control Documents (ICDs), system specifications, and verification plans. Support design reviews including SRR, PDR, CDR, TRR, FRR, and other program milestones. Lead technical risk identification, mitigation planning, and resolution activities. Support anomaly investigations, root cause analyses, and corrective actions during testing and flight operations. Define system verification and validation strategies and ensure successful execution. Support launch campaigns, integrated vehicle testing, and flight readiness activities. Serve as a technical leader and mentor for systems engineering processes and best practices. What It Takes: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Systems Engineering, or related technical discipline. 10+ years of engineering experience with complex aerospace, defense, launch vehicle, spacecraft, missile, or high-reliability systems. Experience developing and managing system requirements. Experience leading multidisciplinary technical teams. Experience with system integration, verification, and validation activities. Strong understanding of systems engineering principles and lifecycle development. Excellent communication and technical leadership skills. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder). Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Ability to maintain or obtain a Government Security Clearance is required. Preferred Qualifications: Master's degree in Engineering or related technical field. Experience with launch vehicles, spacecraft, satellites, missile systems, or defense aerospace programs. Experience leading System Requirements Reviews (SRR), Preliminary Design Reviews (PDR), and Critical Design Reviews (CDR). Experience developing and managing Interface Control Documents (ICDs). Familiarity with MBSE tools such as Cameo, MagicDraw, Capella, or similar platforms. Experience with requirements management tools such as DOORS, Jama, or equivalent. Understanding of mission analysis, flight operations, and launch vehicle architecture. Experience supporting flight test programs and launch campaigns. Active security clearance or ability to obtain and maintain one. What We'd Love: Strong systems thinking and problem-solving skills. Ability to balance technical detail with vehicle-level decision making. Comfort working across organizational boundaries and engineering disciplines. Strong ownership mentality and ability to drive issues to closure. Ability to thrive in a fast-paced startup environment where rapid iteration and execution are critical. Where You'll Be: The position is onsite at our headquarters in El Segundo, CA. What We Offer: Equity-Based Compensation Highly Competitive PTO and Holiday Calendar Comprehensive Medical, Dental, and Vision Coverage Unique Performance-Based Bonus Structure Health and Wellness Stipend Commuter Benefits ITAR Requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Equal Employment Opportunity: Space Kinetic provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, disability or any other legally protected status. The annual base salary for this role is below. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on interviews, job-related skills, relevant education/experience, certifications, abilities of the candidate and internal equity. Pay Range $90,000—$110,000 USD
Technology

IonQ
Optical Engineer
Senior
On-site
Broomfield, CO
116,736 - 152,256 USD/yr
🏢 Summary: Onsite Optical Designer and Analyst role focused on designing, analyzing, and optimizing space-based optical communication systems, including free-space and high-speed laser applications. The position leads the full optical system lifecycle from concept through prototyping, ensuring performance, manufacturability, and integration into spacecraft or ground platforms. Ideal for an experienced optical engineer with strong simulation expertise and cross-disciplinary collaboration skills. 🗂️ Requirements: Bachelor’s degree in Optics, Mechanical Engineering, Electrical Engineering, Telecommunications Engineering, Physics, or related field, Proven experience in optical system design for space-based or high-precision instruments, Extensive experience with optical design software (e.g., ZEMAX), Experience with mechanical design tools (e.g., SolidWorks or Siemens NX), Ability to perform tolerance, wavefront, radiometric, and propagation analysis, Eligibility to comply with U.S. export control regulations (ITAR) 📃 Skills: ZEMAX, SolidWorks, SiemensNX, Optics, Optomechanics, Radiometry, Wavefront, ITAR, FiberOptics, Lasers 🏢 Description: The Role The Optical Designer and Analyst will be responsible for designing, analyzing, and optimizing optical systems for space-based communication technologies. This role requires hands-on experience with optical design software, a strong background in optics, and the ability to collaborate across disciplines to deliver optical designs that are both innovative and capable of cost-effective mass production. Location: Onsite in Broomfield, Colorado office Travel: Up to 5% Responsibilities - Lead the full lifecycle of optical systems, including conceptualization, simulation, detailed design, and prototyping, with focus on free-space optical communication systems and high-speed laser applications. - Conduct in-depth analysis using optical design software to optimize system performance, including manufacturing and alignment tolerances, wavefront error, radiometric analysis, free-space far-field propagation, and fiber coupling efficiency. - Collaborate with mechanical, electrical, software, and control engineering teams to integrate optical subsystems into spacecraft or ground-based platforms. - Develop and implement optomechanical design and analysis strategies, including Structural-Thermal-Optical Performance analysis for space environments. - Write and maintain technical documentation for designs, analyses, and test procedures; mentor and transfer knowledge to team members. Qualifications - Bachelor’s degree or higher in Optics, Mechanical Engineering, Electrical Engineering, Telecommunications Engineering, Physics, or related technical field. - Proven experience in optical system design, particularly for space-based or high-precision optical instruments. - Extensive experience with optical design software (e.g., ZEMAX) and mechanical design tools (e.g., SolidWorks, Siemens NX). - Must meet U.S. Government export control regulations (ITAR) requirements. Preferred Qualifications - Experience with optical design for space-flight systems or astronomy. - Experience working in a cleanroom environment (ISO 5 to ISO 8). - Spanish speaking is a plus. Compensation and Benefits - Base salary range: $116,736 - $152,250, plus bonus and equity. - Comprehensive medical, dental, and vision plans. - 401(k) with company match. - Unlimited PTO and paid holidays. - Parental/adoption leave. - Legal insurance. - Home technology stipend. Employment is contingent upon compliance with U.S. export control and government contract restrictions.
Technology
Lodestar Space
Software Engineer - Perception
Mid
On-site
Los Angeles, CA
140,004 - 180,000 USD/yr
🏢 Summary: Software Engineer – Perception role focused on developing real-time computer vision and machine learning algorithms for autonomous space systems. The position involves designing, training, optimizing, and deploying perception models for detecting, classifying, and estimating the pose of dynamic space targets. The engineer will integrate ML models into real-time autonomy pipelines and simulation environments for orbital defense applications. 🗂️ Requirements: Bachelor's or Master's degree in AI/ML, Computer Science, Robotics or related field, Minimum 2 years industry experience in Machine Learning, robotics or computer vision, Strong programming skills in C++, Strong programming skills in Python, Experience with DNN and Machine Learning models, Experience with computer vision and image processing libraries, Experience developing and deploying ML models to real-time systems, Broad understanding of perception systems architecture, U.S. citizenship or eligibility under ITAR regulations 📃 Skills: C++, Python, MachineLearning, DeepLearning, ComputerVision, OpenCV, CUDA, PCL, TensorRT, RADAR, LIDAR, AWS, GCP, Azure, Linux, Git, Docker, Kubernetes, CI/CD 🏢 Description: About Lodestar Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is the critical hardware & software necessary to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL as a single platform, we deliver a fully autonomous end-to-end protection spacecraft service. About the Job As a Software Engineer - Perception at Lodestar, you'll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL's center. You'll focus on researching and building algorithms to detect, classify and understand unknown space targets in real-time. By combining computer vision, image processing and machine learning, you'll develop custom models - providing the foundation for autonomous decision-making in complex and uncertain space environments. We proudly have an "extreme ownership" oriented engineering culture. What You'll Do Scoping architecture for the perception system core to Lodestar's autonomy software suite Research and adapt novel perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment Design, develop ML algorithms from the ground up, in addition to build on and optimizing our existing models for edge computing Further develop our robust methods for predicting relative pose of dynamic space targets in harsh and unpredictable visual environments Integrate perception models into mission simulation environments and real-time autonomy pipelines Contribute to the design of realistic sensor models and digital twins to improve perception fidelity in mission scenarios Own perception tooling, model training infrastructure, and evaluation frameworks for ongoing development and deployment Collaborate across autonomy, estimation, and mission software teams to ensure perception fidelity, performance, and scalability Basic Qualifications Bachelor's or Master's degree in, AI/ML, Computer Science, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in Machine Learning, robotics, computer vision, or a related field Excellent software engineering skills in C++ and Python Strong DNN/ML background and experience in CV and image processing libraries (OpenCV, CUDA-accelerated vision, PCL) Broad understanding of modern perception systems and their architecture Experience developing and deploying ML models to real-time systems Preferred Skills & Experience Experience processing sensor measurements from a variety of sensors including RADAR, electro-optical sensors, RF sensors, or LIDAR Familiarity with image processing techniques (e.g., feature extraction, segmentation, filtering, stereo matching) to support 3D reconstruction and target classification Track record optimizing neural networks and geometric algorithms using CUDA kernels, TensorRT, or other GPU acceleration frameworks Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure) Experience with Linux, Git, and CI/CD pipelines Comfortable with containerization tools such as Docker and Kubernetes Strong understanding of networking and communication protocols for distributed autonomy systems ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Compensation & Benefits Pay Range: (E1) Junior Software Engineer: $115,000 - $140,000 / year (E2) Software Engineer: $140,000 - $180,000 / year (E3) Senior Software Engineer: Competitive Meaningful equity incentives as part of our employee option pool Flexible PTO with generous paid vacation, holidays, and sick leave Comprehensive medical, dental & vision coverage 401(k) retirement plan with company match Los Angeles or San Francisco Additional Information Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan. Lodestar is an Equal Opportunity Employer; employment with Lodestar is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.