The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions. The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

Key responsibilities include:

• Leading spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and working closely with bus providers for successful implementation.
• Developing modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.
• Developing appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations.
• Collaborating across multiple teams to plan, build, and test complex functionality.
• Coordinating with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Supporting challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Directly interacting with customers to ensure mission success.

Required qualifications include:

• A strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems.
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.

Preferred qualifications include:

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

XML job scraping automation by YubHub

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities.

We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR.

With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.

The opportunity

As a Senior Equipment Engineering Technician (Etch) within our Manufacturing Engineering team, you will play a critical role in maintaining and optimizing plasma etch systems that are essential to our waveguide manufacturing process.

This is a highly hands-on role focused on maximizing tool uptime, resolving complex failures, and driving performance improvements in a cleanroom environment.

You will partner closely with Equipment Engineering, Process Engineering, and Operations teams to support high-volume manufacturing and ensure stable, repeatable tool performance.

What you’ll do

Perform advanced troubleshooting, repair, and maintenance on plasma etch systems (Plasma-Therm or similar dry etch tools)

Diagnose and resolve issues across vacuum systems, RF power delivery, gas flow systems, and plasma processes

Troubleshoot electrical, mechanical, and pneumatic subsystems, including motors, pumps, valves, sensors, and PLC-controlled systems

Support tool recovery and uptime efforts, minimizing downtime in a high-volume manufacturing environment

Execute and continuously improve preventive and corrective maintenance procedures

Partner with Process and Equipment Engineers on tool optimization, experiments, and process stability improvements

Analyse equipment performance data to identify root cause and recurring failure modes

Support vendor interactions and escalations, including remote diagnostics and onsite service coordination

Train and mentor junior technicians; develop SOPs and technical documentation

Ensure compliance with cleanroom and safety protocols

What you’ll bring

5+ years of hands-on experience supporting semiconductor manufacturing equipment, with a strong preference for etch tools

Direct experience with plasma etch systems (Plasma-Therm, Lam, Applied Materials, or similar)

Strong understanding of vacuum systems, RF / plasma systems, gas delivery, and process tool integration

Proven ability to troubleshoot complex systems across electrical, mechanical, and pneumatic domains

Experience with PLC systems, sensors, alarms, and system-level diagnostics

Comfortable working independently in a fast-paced, high-urgency manufacturing environment

Familiarity with cleanroom operations and protocols

Experience documenting maintenance and work orders in systems such as CMMS or equivalent

It’s exciting if you also have

Experience specifically with Plasma-Therm etch tools

Prior support of high-volume semiconductor or advanced manufacturing environments

Experience with RF matching networks, mass flow controllers (MFCs), and vacuum pumps (turbo/roughing)

Exposure to process troubleshooting alongside engineering teams

XML job scraping automation by YubHub

You'll be part of a team that serves as the connective tissue between our front-line satellite operators and our deep subsystem engineering teams: close enough to the mission to act decisively, and systems-broad enough to see the second-order effects across the spacecraft system and fleet as a whole.

You will get a chance to work with some incredibly smart and experienced people. No prior space experience is needed, you just need to enjoy getting your hands dirty with real systems, and be energized by technically demanding, high-stakes problems.

This role will contribute to both commercial and US Government programs.

Responsibilities:

• Own and develop satellite operations procedures, including commissioning, nominal operations, and contingency procedures, working closely with subsystem engineers
• Serve as a first-level technical escalation point above our satellite operators, leading the engineering response to anomalies and driving them to closure
• Participate in rotating on-call engineering support for our 24/7 mission operations center
• Support the development of on-board and ground-based autonomy
• Work with our ground software team as the user and requirements owner for tools that will help us operate our fleet of satellites
• Contribute to launch and commissioning campaigns for future missions, including ConOps development, rehearsal planning, and serving in on-console roles during the highest-stakes operations we execute
• Develop tools and processes to enable the Mission Operations team to maintain a high level of service uptime for our customer

Requirements:

• 0-2 years of total experience not including internships
• Experience scripting in any language - Python preferred
• Experience doing telemetry analysis and anomaly investigation
• Exposure to satellite or complex systems operations concepts
• Basic understanding of satellite subsystems (hardware and software)
• Highly motivated, self-starting, and able work autonomously
• A passion for working in a fast-paced environment with hands-on development and testing
• Strong cross-functional communicator: this role bridges operators, subsystem engineers, and software teams

Bonus:

• Experience building operational software tools
• Experience with software development tools such as Git and Jira
• Experience with FDIR concepts, ConOps development, and/or software testing
• Experience operating GEO satellites

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary $115,000-$140,000 USD

XML job scraping automation by YubHub

You will work at the front of the product lifecycle; providing rapid, actionable root-cause findings that feed directly back into active design iterations. You will be the primary technical owner of understanding why prototype hardware fails, translating physical evidence into design, process, and supplier improvements that accelerate our path to reliable production hardware.

Key responsibilities include:

Performing failure analysis investigations on Printed Circuit Board Assemblies (PCBAs), components, modules, and subsystems returned from environmental, electrical, and mechanical cycling test campaigns Troubleshooting and isolating failures using drawings, schematics, circuit tracing, fault isolation techniques, and Design of Experiments (DOE) where appropriate Applying analytical techniques including optical and digital microscopy, X-ray/Computed Tomography (CT), mechanical cross-sectioning, curve tracing, and thermal imaging to identify failure mechanisms at the sub-system, board, and component level Coordinating with external analytical laboratories for advanced techniques such as Scanning Electron Microscopy / Energy Dispersive Spectroscopy (SEM/EDS), Fourier-Transform Infrared Spectroscopy (FTIR), and Focused Ion Beam (FIB) analysis when deeper characterization is required Authoring concise technical FA reports with documented findings, images, and conclusions that support design review discussions Translating physical failure evidence into clear, actionable root-cause conclusions and corrective action recommendations Collaborating with design, reliability, quality, manufacturing, and test engineering teams to drive corrective actions and prevent recurrence across prototype iterations Supporting Failure Modes and Effects Analysis, Design Verification, Validation, and Qualification planning and with proactive FA insights and risk identification based on lessons learned from previous builds Identifying and flagging failure patterns related to PCB/PCBA assembly, Surface Mount Technology (SMT) soldering processes, and supplier quality issues to inform Design for Quality and Reliability Building and maintaining a failure database to capture institutional knowledge and enable trend analysis across prototype builds Establishing and continuously improving FA processes, workflows, and documentation standards appropriate for a fast-moving prototype environment

Requirements include:

Bachelor's degree in Electrical Engineering, Materials Science, Electronic Engineering Technology, Mechanical Engineering or a related field 5+ years of hands-on failure analysis experience on electronic hardware (PCBAs, motors, batteries, components, interconnects) Background in a prototype or New Product Introduction (NPI) environment with rapid iteration cycles Proficiency with standard FA tools: optical/digital microscopes, multimeters, oscilloscopes, and curve tracers Experience with thermal imaging and thermal characterization of electronic assemblies Experience with non-destructive and destructive analysis methods including X-ray/CT and mechanical cross-sectioning Demonstrated ability to read and interpret PCB schematics and layouts Experience coordinating with external analytical labs or vendors for advanced characterization Strong technical writing skills with the ability to produce clear, evidence-based FA reports

Bonus qualifications include:

Master's degree in Electrical Engineering, Materials Science, or a related field Experience with structured problem-solving methodologies such as 8D, Fishbone, or 5-Why analysis Familiarity with physics-of-failure approaches to root-cause analysis Familiarity with PCB/PCBA assembly and SMT processes, including the ability to identify assembly and soldering-related defects

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary: $145,000-$190,000 USD

XML job scraping automation by YubHub

Your primary focus will be on owning the integration of power, control, and harnessing subsystems into finished products. This includes designing hardware such as enclosures, electronics packaging, bus bars, and cable assemblies. You will also be responsible for delivering conceptual level harness routing schemes and following best practices to define mounting locations.

In addition to your technical responsibilities, you will collaborate daily with a tight-knit product team, travel to exercises and work alongside warfighters to support our products, and iterate on your designs with our manufacturing team to document, build, and deliver them at scale.

To be successful in this role, you will need to have a proven track record of past designs integrating electrical components into mechanical assemblies, experience with cabling design and harness integration on products designed for rugged use, and high competence with engineering first principles.

You will also need to have 5+ years of professional engineering experience, CAD skills, and the ability to make high-quality engineering drawings. A BS, M.Eng, MS, or PhD in an engineering field is required, and you must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Preferred qualifications include experience selecting and integrating ruggedized and MIL-spec connectors, familiarity with common electrical interfaces, knowledge of EMI shielding and EMC best practices, competency with 3D CAD harness routing tools, understanding of enclosure design and the fundamentals of material options, well-versed in ingress protection standards, and proficiency with NX/Teamcenter.

Active Top Secret Security clearance or the ability to obtain and maintain one is also preferred.

XML job scraping automation by YubHub

The ideal candidate will have 1+ years of experience working in a manufacturing setting (aerospace, electronics, or medical industry is preferred) performing mechanical and/or electrical assemblies, proficiency with common hand tools and power tools, proficiency with computer use, ability to read a wiring diagram and follow assembly instructions, ability to rapidly change roles/responsibilities while working in a high-paced, challenging work environment, and ability to effectively communicate (verbal and written) with engineering and production.

The salary range for this role is $24.00-$28.00 per hour, and the company offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver & wellness leave, family planning & parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

XML job scraping automation by YubHub

You will establish and promote best practices for performance data collection, normalization, and interpretation across teams, develop performance models and reference workloads to enable early analysis, validation, and correlation of system behavior, and support performance bring-up and correlation across simulation, emulation, prototyping, and lab environments, ensuring accuracy and consistency.

Your work will elevate performance analysis capabilities across Synopsys, enabling more accurate and efficient silicon characterization, accelerate time-to-market for partner-tailored solutions by providing robust frameworks and reference workloads, enhance collaboration between hardware and software teams through standardized methodologies and shared best practices, and drive innovation in performance modeling and early validation, contributing to the development of next-generation silicon products.

To succeed in this role, you will need a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience, 12+ years of experience in system-level software, embedded platforms, or performance engineering, strong programming skills in System Verilog, C, or C++, and a deep understanding of embedded and system software stacks, memory hierarchies, IO subsystems, and interconnect behavior.

XML job scraping automation by YubHub

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are: You are a passionate and detail-oriented engineer with a deep understanding of SoC and microprocessor verification. You thrive in fast-paced, collaborative environments, bringing a proactive approach to problem solving and technical challenges. Your expertise in System Verilog, UVM, and modern verification methodologies allows you to design robust testbenches and environments. You possess strong analytical skills, enabling you to identify issues early and drive solutions efficiently. You are comfortable working across global teams, communicating clearly and effectively with stakeholders from diverse backgrounds. Your experience spans multiple processor architectures, and you are continuously seeking out new technologies and methods to improve verification quality and efficiency. You value teamwork and mentorship, sharing your knowledge to uplift those around you. You are committed to delivering high-quality products on time, and your dedication shows in your attention to detail and drive for excellence. Your background in automotive safety standards or power-aware verification is an added advantage, demonstrating your commitment to industry best practices. You are ready to make a meaningful impact in a world-class engineering team, contributing your skills, creativity, and leadership to shape the future of silicon design.

What You’ll Be Doing: Collaborating with a global team to carry out processor and subsystem verification for advanced SoC designs. Developing state-of-the-art verification environments, test scenarios, checkers, and assertions using System Verilog and UVM. Participating in verification planning, reviews, progress tracking, and achieving verification closure. Interacting and collaborating with stakeholders across design, DFT, physical design, prototyping, and other domains to ensure seamless project execution. Applying expertise in standard protocols (AXI, APB, AHB) and processor architectures (x86, ARM, RISC-V, MIPS) to validate complex subsystems. Driving the resolution of critical issues, debugging failures, and ensuring high-quality deliverables within project timelines. Leveraging scripting skills (Perl, Python) to automate verification flows and enhance efficiency.

The Impact You Will Have: Enabling the delivery of reliable, high-performance SoC solutions for next-generation applications. Ensuring verification closure and product quality, directly contributing to Synopsys’ reputation as an industry leader. Driving innovation in verification methodologies, enhancing productivity and reducing time-to-market. Supporting cross-functional teams and fostering a collaborative culture that accelerates project success. Improving test coverage and robustness, reducing risk of silicon defects and customer issues. Contributing to the advancement of automotive safety, security, and power-aware verification capabilities.

What You’ll Need: BTech/MTech in Electrical/Electronics Engineering with 5+ years of experience in ASIC/SoC verification. Hands-on expertise in SoC/Subsystem/Block-Level Verification using System Verilog, UVM, and C. Strong knowledge of standard bus protocols (AXI, APB, AHB) and SoC architecture/design/development. Experience with formal verification, GLS, and power-aware verification (preferred). Knowledge of processor subsystems, trace, debug, and security features (advantageous). Exposure to CPU/processor architectures (x86, ARM, RISC-V, MIPS). Proficiency in scripting languages such as Perl, Python, or similar. Excellent written and oral communication skills. Strong debug and problem-solving abilities. Familiarity with automotive safety (ASIL) standards (preferred).

Who You Are: Collaborative team player with a positive attitude and strong interpersonal skills. Detail-oriented, organized, and able to manage multiple tasks efficiently. Proactive, self-motivated, and eager to take ownership of complex challenges. Adaptable and open to learning new technologies and methodologies. Effective communicator, able to articulate ideas and solutions clearly to technical and non-technical stakeholders. Committed to continuous improvement, quality, and innovation.

The Team You’ll Be A Part Of: You’ll join a diverse, high-performing global engineering team focused on SoC and processor verification. The team collaborates across multiple domains, leveraging the latest technologies and methodologies to deliver industry-leading silicon solutions. You’ll work alongside experts in design, DFT, physical design, and prototyping, contributing to an environment that values innovation, knowledge sharing, and mutual support.

Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

In this role, you will test Ford's latest powertrain control strategies in-vehicle and/or in a Hardware-In-the-Loop (HIL) environment. This is an exciting and challenging environment as Ford Motor Company continues to grow the amount of development and validation using analytical methods.

Responsibilities:

• Perform Software Validation testing, analysis, and reporting for production software on either HIL or in vehicle
• Report issues using automated reporting systems such as JIRA
• Store and retain documents and test records according to established Ford guidelines
• Implement new or updated design verification methods (DVMs) into the validation process
• Develop automated validation methods using Python and MATLAB
• Maintain test scripts in the version control system

Qualifications:

• Bachelor's Degree
• 3+ years' experience in automotive embedded systems software
• Solid understanding of CAN networks and OBD systems and demonstrated ability to utilize CAN and diagnostics tools (CANalyzer, PTDiag, etc.)
• Understanding of calibration methodologies and demonstrated ability to utilize calibration tools (ATI Vision and ETAS INCA)
• Understanding of Module Hardware/Software Architectures (PCM, HCM, TCM, BCM, Satellite processors – ABS, SJB…)
• Must have a valid driver's license

Even better, you may have:

• Master's Degree in Electrical Engineering, Computer Science or related field
• Valid Ford Tier II certification or ability to attain it
• Must be capable of performing normal driving procedures on public roads in various conditions and in all Ford produced vehicles
• Solid understanding of vehicle structure, subsystems, and components (GAS, HEV and BEV)
• Familiar with module emulators and interfaces (M5, M6, A7, A8, etk, xetk)
• Understanding of testing methodologies and ability to utilize test equipment (multi meter, scope, logic analyzer, etc.)
• Debug of complex vehicle systems (both software and hardware)
• Good understanding of bench testing environments and capabilities
• Understanding of the software build and release process
• Experience with Python, Visual Basic, C/C++, JIRA, CFX, ECUTest
• Technical writing and data presentation skills helpful

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.

About the Role

We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.

In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.

This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries.

Key Responsibilities

• Port and enable benchmarks and real-world workloads on new hardware platforms.

• Evaluate system performance across compute, memory, storage, and networking subsystems.

• Identify and analyze performance bottlenecks and inefficiencies.

• Adapt and optimize workloads to better utilize hardware capabilities.

• Develop and run performance experiments and profiling workflows.

• Compare expected vs. observed performance and provide feedback to:

• hardware architecture teams

• performance modeling teams

• system and software engineers.

• Debug issues across the stack, including software, runtime, and hardware interactions.

• Provide actionable insights to guide platform readiness and deployment decisions.

Qualifications

• Experience with performance analysis, benchmarking, or workload optimization.

• Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.

• Experience porting or adapting workloads across different hardware platforms.

• Familiarity with profiling tools and performance debugging techniques.

• Ability to identify root causes of performance issues across hardware/software boundaries.

• Experience working in large-scale or distributed system environments.

Preferred Skills

• Experience with AI/ML workloads, including training or inference systems.

• Familiarity with GPU or accelerator-based systems.

• Experience working with low-level performance tools (profilers, tracing, microbenchmarks).

• Background in systems software, compilers, or runtime optimization.

• Experience collaborating with hardware and architecture teams on performance validation.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

XML job scraping automation by YubHub

You will lead core design work for ADAS components per the Global Product Development System process on various vehicle programs. Your responsibilities will include providing cost-efficient and quality parts on time, maintaining ownership and governance of component-specific robustness quality documentation (DFMEA, DVP&R, SCCAF, etc.).

You will also lead the Sourcing Process, including investment, piece price, and tooling cost reviews, and prepare initial and final sourcing documents including ESOW, Engineering Specifications, System and Component Requirements. Additionally, you will manage and execute software technical design reviews and releases for prototype, production, and service.

You will lead and perform Failure Mode Avoidance and Functional Safety analyses to examine potential failure modes and design suitable prevention strategies. You will conduct Technical Design Reviews, interfacing with Ford application activities and supplier engineering (software, hardware, mechanical, etc.).

You will lead in the creation and signoff of E/E information like WCCA, Device Transmittals, Specifications, and Electrical Schematics. You will support Vehicle Operations activities to determine appropriate assembly and testing processes.

You will interface with other engineers, Vehicle Engineering, suppliers, and management to ensure compliance with required specifications and efficient critical decision-making. You will support program-related work such as Bill of Materials (BOM), integration and packaging, parts release, requirements compliance, Engineering Signoff, 2-pagers, AIMs, FMA, Subsystem/Supplier work plans, DVP&R, and Engineering Sign-off.

You will analyse data, identify root causes of issues, and develop corrective actions to optimize processes and achieve desired outcomes. You will drive troubleshooting and development of solutions for Hardware, Software, and packaging issues found during validation and launch using problem-solving best practices (8D, Is/Is not, 3L5W, fishbones, etc.).

You will support prototype builds and vehicle launch, which may require travel. You will identify validation, durability, and functional testing required for a given program’s change scope. You will support ongoing warranty reduction and improvements.

XML job scraping automation by YubHub

Key responsibilities include:

• Leading Design, Release, Validation, and Launch of all unique labels for new model vehicle programs
• Managing the design, development, release, and production implementation of components and subsystems
• Conducting Design validation process (DV/PV) with reports for compliance
• Supporting current production and quality efforts
• Full end-to-end unique Label map deployment and analysis

Requirements include:

• Associate of Applied Science in Automotive Technology, Engineering Technology, or a related field
• 2+ years' experience in an automotive setting
• Familiarity with FMEA (Failure Mode and Effects Analysis), Verification Methods with Test Standards, and automotive quality standards
• Ability to build strong effective relationships with cross-functional teams

As an established global company, we offer a work-life balance that works for you, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more.

Salary will be based on candidate's skills and experience, and will be set within the applicable range according to job scope, responsibility, and competitive market value.

XML job scraping automation by YubHub

As a kernel generalist, you will be responsible for debugging kernel-level issues, analysing and fixing crashes, panics, dumps, and upstreaming fixes and features that improve the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team's Stack:

• Python, Go, bash/sh, C

• Prometheus, Victoria Metrics, Grafana

• Linux Kernel (custom build), Ubuntu

• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyse kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.

• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).

• Stack-Wide Support – Ensure kernel support and stability across:

• Virtualization (KubeVirt, QEMU, vFIO)

• Container runtimes (containerd, nydus, kubelet)

• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)

• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.

• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.

• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.

• Collaborate with hardware vendors and the Linux community on feature enablement.

• Implement diagnostics and tooling for kernel-level observability.

• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.

• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.

• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).

• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.

• Strong C programming skills with the ability to write maintainable and upstream-quality code.

• Experience working with kernel modules, drivers, and subsystems.

• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.

• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.

• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).

• GPU/DPU bring-up and driver experience.

• Experience in HPC or large-scale distributed systems.

• Familiarity with QA/QE best practices

• Experience working in Cloud environments

• Experience as a software engineer writing large-scale applications

• Experience with machine learning is a huge bonus

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

XML job scraping automation by YubHub

The ideal candidate will have a proven track record of significantly improving Overall Equipment Efficiency through sophisticated automation enhancements and successful collaboration on new product development. If you are someone who has an analytical mindset, a relentless drive for continuous improvement in OEE, and excellent collaboration skills to work effectively across teams, then this role is for you.

This role will be based temporarily at Santa Ana, CA for a 3-month training period before transitioning to Asheville, OH.

XML job scraping automation by YubHub

Key responsibilities include:

• Championing continuous improvement projects to maximise yield, cycle time, and availability of equipment.
• Working hand-in-hand with process engineering and maintenance teams to resolve equipment issues, improve equipment reliability, and provide technical guidance.
• Supporting operations to aggressively ramp newly launched products to full-scale production.
• Developing Scada systems to monitor, gather, and process real-time production data.
• Performing in-depth root cause analysis for equipment failures and implementing robust corrective and preventive actions to enhance system reliability and uptime.

Requirements include:

• A Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related technical field.
• 5+ years of experience in a manufacturing environment, specifically focused on equipment engineering, automation, or reliability.
• Demonstrated expertise in programming and troubleshooting PLCs (e.g., Allen-Bradley, Siemens), HMIs, and industrial automation systems.
• Strong understanding of robotics, motion control systems, and mechanical/electrical subsystems in a production setting.
• Proven ability to lead and execute continuous improvement initiatives (e.g., Lean, Six Sigma) resulting in measurable OEE gains.
• Strong troubleshooting and problem-solving skills with the ability to implement effective solutions quickly.
• Excellent problem-solving abilities, analytical skills, and attention to detail.
• Experience working in a fast-paced, high-volume manufacturing environment.
• Eligibility to obtain and maintain an active U.S. Secret security clearance.

XML job scraping automation by YubHub

Key responsibilities include:

• Executing rapid evaluation of engineering concepts in a wide range of fields
• Performing trade studies and physics-based analysis of blue-sky engineering problems
• Designing, implementing, and testing complex electro-mechanical systems
• Leading design reviews, running analysis, visiting vendors, defining and executing hardware test plans
• Building prototypes, analyzing failures, and transitioning successful projects into production
• Supporting critical hardware demonstrations with customers as needed
• Traveling to test sites as needed

Required qualifications include:

• Experience in an immersive technical project (collegiate project teams or professional settings)
• 3+ years of mechanical design experience in a professional setting
• Experience designing mechanical parts (CAD) and understanding of manufacturing methods (machining, sheet metal, composites, 3D printing, injection molding, composite lamination, etc)
• Ability to read, interpret, and manipulate schematics, wiring diagrams, and layouts
• High competence with, and fluid use of, engineering first principles
• BS, MS, or PhD in an engineering field, or equivalent work experience
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• Experience developing aircraft subsystem layouts, performing architectural trade studies, and evaluating vendor performance data
• Competency in engineering analysis, including structural, thermal, and electrical
• Hands-on prototyping (soldering, board assembly, harnessing)
• Outstanding leadership and interpersonal skills
• Familiarity with designing for rugged environments
• Experience integrating electrical and mechanical subsystems (sensors, payloads, weapons, etc.) onto air vehicles
• Experience in developing a variety of electronics hardware products (UAVs, wearables, firearms, high power electric propulsion, optical systems, or other complex mechanisms)
• Practical experience with electrical engineering tools (Oscilloscopes, power supplies, electronic loads, multimeters)
• Understanding of MIL-STD requirements such as MIL-STD-1275, MIL-STD-461, MIL-STD-810, MIL-DTL-38999

XML job scraping automation by YubHub

The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. You will develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.

Key responsibilities include:

• Developing and implementing GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes
• Collaborating across multiple teams to plan, build, and test complex functionality
• Coordinating with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Supporting challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems

Required qualifications include a strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems is also required.

Preferred qualifications include experience with testing propulsion subsystems in laboratory environments that mimic the space environmental constraints, conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime, and developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.

XML job scraping automation by YubHub

The ideal candidate will have 5+ years of mechanical engineering experience in advanced air vehicle programs. They will be familiar with hypersonic missile systems and military standards. They will have hands-on experience integrating electrical and mechanical subsystems into high-speed air vehicles. They will be proficient in designing mechanical parts using CAD software and a strong understanding of manufacturing methods, including machining, sheet metal work, composites, 3D printing, injection molding, and composite lamination. They will have a strong understanding of mechanical engineering fundamentals and first principles. They will hold a BS or higher degree in Mechanical, Aerospace, or Electrical Engineering. They will be eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include experience using Siemens NX and Teamcenter software. Expertise in air vehicle subsystem layouts, architectural trade studies, and vendor data evaluations is also desirable. An active DoD Top Secret security clearance is preferred. Proficiency in advanced engineering analysis, including structural, thermal, and/or electrical domains, is also a plus.

XML job scraping automation by YubHub

As the Air Dominance and Strike (AD&S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. They are responsible for architecting a vision for product development and guiding multi-disciplinary teams to deliver effectively. They are expected to own the mission and to be deeply involved in building the eco-system that enables execution.

The ideal candidate will leverage their experience executing and successfully completing prior highly optimized multi-disciplinary projects. They should have a deep understanding of unmanned aircraft at and above Group 3 class, experience in a senior role leading air vehicle programs from initial concept through test and delivery to customers, and experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.

Key responsibilities include leading technical and programmatic execution of new and existing air vehicle systems design, fabrication, test, productization and sustainment, owning the technical and programmatic success of your programs, establishing technical and programmatic vision, assembling teams of internal and external subject matter experts, and communicating that vision to them.

Additionally, you will manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks. You will also coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts, support remotely deployed operations of your systems, and work with senior leadership to ensure resource plans are adequate for work scope.

XML job scraping automation by YubHub

Your primary focus will be on ensuring test results accurately characterise engine and subsystem performance, de-risk integration, and inform flight readiness decisions. This role is hands-on, data-driven, and highly cross-functional, requiring close collaboration with propulsion engineers, design engineers, technicians, controls, airframe, and flight test teams.

Key responsibilities include:

• Owning the propulsion test program from requirements through execution, data review, and test-to-flight handoff.
• Architecting, designing, analysing, and building test stands and fixtures for engine, fuel, oil, bleed air, and TVC-related testing.
• Defining and implementing instrumentation plans, DAQ architecture, calibration methods, and test procedures.
• Leading ground test campaigns, including performance mapping, transient response, and edge-of-envelope testing.
• Analysing test data to validate performance, identify anomalies, and drive design or control updates.
• Partnering with propulsion REs and controls engineers to ensure test coverage closes risk against CONOPS and mission profiles.
• Driving root cause investigations for test anomalies and implementing corrective actions.
• Authoring test plans, reports, and readiness reviews; representing propulsion test in design and flight readiness reviews.

Requirements include a Bachelor's degree in Aerospace Engineering or a related engineering discipline, 5+ years of experience in propulsion or engine testing in aerospace development environments, and hands-on experience with engine test cells, test stand design, instrumentation, and DAQ systems.

XML job scraping automation by YubHub

You are an accomplished engineering leader with more than a decade of hands-on experience in SoC verification, emulation, and system-level validation. You thrive at the intersection of advanced hardware-assisted verification (HAV) and simulation acceleration (SimXL), bringing a deep understanding of complex SoC architectures, memory subsystems, and high-speed interconnects.

Architecting and leading Hardware-Assisted Verification and Simulation Acceleration solutions for large-scale SoCs and multi-die systems.

Driving end-to-end SimXL deployments, including use-case definition, performance optimization, and methodology standardization.

Defining and owning system-level verification and acceleration strategies spanning simulation, emulation, and prototyping.

Bridging gaps between RTL simulation, emulation, and software bring-up to enable early and scalable system validation.

Leading complex customer engagements involving HAV platforms, simulation acceleration, and hybrid verification flows.

Translating customer verification challenges into scalable, reusable solution architectures and acting as a technical authority in escalations.

Driving innovation in HAV and SimXL methodologies, including automation, reuse, and productivity frameworks leveraging AI/GenAI-assisted approaches.

Collaborating with R&D, Product Management, and Applications teams to influence product roadmaps and feature requirements.

Accelerate customer verification cycles, enabling earlier software and system bring-up for complex SoC designs.

Define and scale best-in-class HAV and SimXL solutions across strategic accounts, enhancing customer outcomes.

Drive measurable improvements in performance, capacity, and debug productivity for verification workflows.

Shape the future of AI-assisted verification and solution deployment within Synopsys and across the industry.

Act as a key technical leader in advancing the organization’s verification acceleration strategy.

Mentor and empower senior engineers, fostering a culture of innovation and technical excellence.

Influence product direction and solution roadmaps through deep technical insights and customer engagement.

10+ years of experience in SoC verification, emulation, or system-level validation.

Deep hands-on expertise in Hardware-Assisted Verification, simulation acceleration, and hybrid verification flows.

Strong experience with emulation platforms and accelerated simulation environments.

Solid understanding of SoC architectures, interconnects, memory subsystems, and software bring-up challenges.

Proven ability to design and deploy scalable verification solutions for complex designs.

Experience with system-level testbenches, transactors, and acceleration frameworks.

Exposure to GenAI or AI-assisted techniques applied to verification, debug, or solution automation.

Background in high-speed interfaces, memory subsystems, or multi-die architectures.

Track record of creating reusable assets, methodologies, or automation frameworks.

Experience influencing product direction or defining solution roadmaps.

Innovative thinker with a passion for driving technological advancement and automation.

Collaborative leader who mentors and inspires teams across geographies.

Strong communicator adept at translating complex technical concepts for diverse audiences.

Customer-focused problem solver with a commitment to delivering impactful solutions.

Adaptable and resilient in fast-paced, matrixed environments.

Detail-oriented, analytical, and proactive in identifying and addressing challenges.

You will join a dynamic, cross-functional team dedicated to advancing verification acceleration solutions for Synopsys’ strategic customers. The team comprises experts in HAV, simulation acceleration, R&D, product management, and applications engineering, all working collaboratively to define and deploy innovative methodologies.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

We are seeking a highly skilled ASIC Security Staff Engineer to join our team at Synopsys. As a key member of our Security IP team, you will be responsible for designing and implementing secure ASIC solutions for various industries.

Job Description

What You'll Be Doing:

• Designing and implementing RTL in Verilog and/or System Verilog for Security Applications.
• Creating and designing test environments for digital hardware Security IP cores and subsystems using System Verilog and UVM.
• Conducting hardware verification of IP cores and subsystems utilizing modern verification techniques such as UVM or formal verification.
• Collaborating with hardware and software security experts to perform functional and performance analysis of embedded hardware/software IP solutions.
• Working within an international team setup, contributing to global projects.
• Ensuring adherence to high-quality standards and best practices in digital design and verification processes.

The Impact You Will Have:

• Enhancing the performance and security of our IP cores and subsystems.
• Contributing to the rapid integration of advanced capabilities into SoCs, meeting unique performance, power, and size requirements.
• Reducing time-to-market for differentiated products with minimized risk.
• Driving innovation in the fields of CyberSecurity, High Performance Computing, Artificial Intelligence, and Automotive.
• Collaborating with a diverse team to deliver leading-edge solutions that shape the future of technology.
• Playing a key role in maintaining Synopsys' position as a leader in chip design and software security.

What You'll Need:

• 3+ years Experience in RTL design of hardware IP components.
• Proficiency in ASIC verification using System Verilog, UVM, and or Verilog
• Ability to create detailed specifications for test environments.
• MSc or PhD in Electrical Engineering or Computer Science.
• Strong understanding of IC Design flows and exceptional problem-solving and debugging skills.

Who You Are:

• A strong communicator with excellent written and verbal skills.
• A team player who thrives in a collaborative international environment.
• An innovative thinker who is passionate about technology and continuous improvement.
• Detail-oriented and committed to delivering high-quality work.
• Adaptable and able to manage multiple tasks effectively.

The Team You’ll Be A Part Of:

You will be joining the Security IP team in Eindhoven at the High Tech Campus, a dynamic and innovative group dedicated to extending the Security IP business in markets such as CyberSecurity, High Performance Computing, Artificial Intelligence, and Automotive. Our team is composed of experts in hardware and software security, working together to develop state-of-the-art IP cores and subsystems. We value collaboration, creativity, and a commitment to excellence.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

XML job scraping automation by YubHub

About the Team

The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale.

About the role

We are looking for an Operating Systems Engineer to build and harden the OS foundations for OpenAI products. We are especially interested in experienced, passionate, and innovative operating systems developers who thrive on building foundational platform software and solving hard problems in security, privacy, performance, power, and reliability. You will work across the OS kernel, core OS services, security and privacy primitives, performance and power, and the frameworks that connect applications and UI to the system. This role emphasizes deep debugging and systems ownership from development through production.

Responsibilities

• Work on end-to-end OS capabilities spanning the OS kernel, userspace services, application frameworks, UI toolkits, and application-facing APIs.

• Develop, integrate, and maintain OS components, both kernel-bound and in userspace, including scheduling, memory management, filesystems, drivers, IPC/RPC mechanisms, and security-relevant subsystems.

• Build and maintain core OS services and daemons (init, service management, device discovery, networking primitives, time, logging, update hooks, crash handling, and so on).

• Design and implement security and privacy mechanisms:

• Secure boot and measured boot integration points (where applicable).

• Mandatory access control and sandboxing.

• Secrets management, secure storage, key handling, and least-privilege service design.

• Establish a performance and power discipline:

• Instrumentation, profiling, and regression detection for boot time, latency, throughput, and memory.

• Power measurement workflows, battery and thermal aware tuning, and energy regression prevention.

• Build first-class debugging and observability for the OS:

• Tracing and profiling using tools such as ftrace, perf, eBPF, BPFtrace, LTTng, systemtap, flamegraphs.

• Crash triage and root cause analysis across kernel and userspace, including postmortem tooling and symbolication.

• Provide stable, well-documented platform interfaces for application frameworks and UI frameworks:

• Windowing/compositing primitives (e.g., Wayland), input pipelines, graphics stack integration (e.g., DRM/KMS), and UI performance.

• System APIs for permissions, notifications, background execution, storage, device access, and lifecycle management.

• Contribute to reliability and release readiness:

• Production hardening, incident response participation, and cross-team debugging.

• Test strategy across unit, integration, and hardware-in-the-loop environments; improve coverage and reduce flakiness.

Required qualifications

• Strong experience with systems programming (such as with Linux, BSD, etc), including meaningful work in the kernel (drivers, core subsystems, or platform enablement) and operating systems.

• Professional proficiency in C, C++ for low-level systems development.

• Experience building or maintaining core OS services and platform software (system services, daemons, init/service management, device management, logging/telemetry pipelines).

• Track record of debugging complex issues across kernel/userspace boundaries using tracing, profiling, and structured root cause analysis.

• Familiarity with security fundamentals in OS design: isolation boundaries, privilege separation, secure IPC, attack surface reduction, and vulnerability mitigation.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).

• 401(k) retirement plan with employer match.

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law).

• Mental health and wellness support.

• Employer-paid basic life and disability coverage.

• Annual learning and development stipend to fuel your professional growth.

• Daily meals in our offices, and meal delivery credits as eligible.

• Relocation support for eligible employees.

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

What we offer

• Competitive salary and equity package.

• Opportunity to work on cutting-edge AI technology.

• Collaborative and dynamic work environment.

• Access to state-of-the-art hardware and software tools.

• Professional development opportunities.

• Flexible work arrangements.

• Comprehensive benefits package.

How to apply

If you are a motivated and talented individual who is passionate about building AI-powered products, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

XML job scraping automation by YubHub