As a member of this team, you will have the opportunity to help define what production automation looks like for Anduril at a national scale.

Key responsibilities include:

• Developing and implementing machine vision for automation systems, quality inspection, defect detection, and process monitoring
• Specifying, procuring, validating, and sustaining vision system components including cameras, lenses, lighting, controllers, and software
• Overseeing the installation, validation, and commissioning of vision systems in production environments across multiple product lines
• Collaborating with cross-functional teams to integrate high-precision inspection systems into production lines and automation systems
• Leading efforts into Root Cause Analysis (RCCA) on vision systems and process failures
• Training production staff on the operation and maintenance of vision systems

Requirements include:

• Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or similar
• 4+ years of experience in developing and maintaining vision systems in a manufacturing environment
• Demonstrated experience developing vision system platforms (Cognex, Keyence, iRVision, Halcon) and programming languages (Python, C++, OpenCV)
• Strong understanding of image processing algorithms, optics, and lighting principles
• Hands-on experience with industrial automation systems including PLC / robot integration
• Familiarity with advanced defect detection techniques, AI-based vision systems, and Statistical Process Control (SPC) methodologies

Preferred qualifications include:

• Active Secret or Top Secret Clearance

US Salary Range: $146,000-$194,000 USD

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Key responsibilities include:

• Leading FPGA architecture, standards, development and review processes
• Designing, architecting, simulating, and integrating VHDL designs into FPGAs or Systems on Chip (SoC) for optimized performance, resource utilization, and power efficiency
• Collaborating with multidisciplinary teams (electrical engineers, software engineers, systems engineers) to ensure seamless integration of the firmware with the overall system, including processor bring-up and board support packages
• Developing robust test benches in VHDL/Verilog and utilizing lab tools such as oscilloscopes and logic analyzers for rigorous testing and validation of designs against functional specifications and performance requirements
• Optimizing the algorithms for hardware acceleration, including MIPS optimization and efficient use of on-chip bus protocols like AXI or AXI-Stream

Required qualifications include:

• A Bachelor's in Electrical Engineering, Computer Engineering, or a related technical field
• 10+ years of experience developing HDL firmware for FPGA devices
• Expertise in VHDL and/or Verilog/SystemVerilog is essential for RTL (Register Transfer Level) design
• Experience with industry-standard FPGA design tools such as Xilinx Vivado or Intel Quartus
• Strong hardware/software debugging skills using standard lab equipment
• Proficiency with version control systems (e.g., Git) for collaborative development
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• Demonstrated experience designing with multi-gigabit SERDES, DDR memory busses, Ethernet MAC and PHY interfaces, FPGAs, and common communication busses like SPI and I2C
• Embedded software development experience with the use of timers, interrupts, hardware peripherals such as SPI controllers and ADCs
• Knowledge of embedded Linux development, including device trees, hardware drivers, bootloaders, and basic Unix/Linux tools
• Familiar with common programming languages like Python and MATLAB
• Familiarity with infrared image sensor technology

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Key responsibilities include:

• Leading FPGA architecture, standards, development and review processes
• Designing, architecting, simulating, and integrating VHDL designs into FPGAs or Systems on Chip (SoC) for optimized performance, resource utilization, and power efficiency
• Collaborating with multidisciplinary teams (electrical engineers, software engineers, systems engineers) to ensure seamless integration of the firmware with the overall system, including processor bring-up and board support packages
• Developing robust test benches in VHDL/Verilog and utilizing lab tools such as oscilloscopes and logic analyzers for rigorous testing and validation of designs against functional specifications and performance requirements
• Optimizing the algorithms for hardware acceleration, including MIPS optimization and efficient use of on-chip bus protocols like AXI or AXI-Stream

Required qualifications include:

• A Bachelor's in Electrical Engineering, Computer Engineering, or a related technical field
• 10+ years of experience developing HDL firmware for FPGA devices
• Expertise in VHDL and/or Verilog/SystemVerilog for RTL (Register Transfer Level) design
• Experience with industry-standard FPGA design tools such as Xilinx Vivado or Intel Quartus
• Strong hardware/software debugging skills using standard lab equipment
• Proficiency with version control systems (e.g., Git) for collaborative development
• Eligibility to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• Demonstrated experience designing with multi-gigabit SERDES, DDR memory busses, Ethernet MAC and PHY interfaces, FPGAs, and common communication busses like SPI and I2C
• Embedded software development experience with the use of timers, interrupts, hardware peripherals such as SPI controllers and ADCs
• Knowledge of embedded Linux development, including device trees, hardware drivers, bootloaders, and basic Unix/Linux tools
• Familiarity with common programming languages like Python and MATLAB
• Familiarity with infrared image sensor technology

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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

The Graphics team builds the graphics runtimes and rendering systems that power next-generation user interfaces and visual experiences. We work across rendering pipelines, display composition, and GPU optimization to deliver beautiful, performant, and reliable real-time graphics across devices. Our work spans from early architecture through production, partnering closely with camera, vision, and UX teams to create seamless visual interactions.

About the Role

As a Graphics engineer, you will design, implement, and optimize real-time rendering pipelines and graphics frameworks for 2D and 3D applications. You’ll own the end-to-end display and composition path,covering swapchains, frame pacing, vsync, color/HDR, and zero-copy buffer flow,while driving system reliability and performance at scale.

We’re looking for engineers who combine deep technical expertise in rendering and GPU systems with a strong product sense for crafting responsive, high-quality user experiences.

In this role, you will:

• Build and evolve graphics runtimes and libraries (text/raster, image pipelines, materials/shaders, scene graph) for app/UI developers.

• Design, implement, and optimize real-time rendering pipelines (2D/3D) using Vulkan or OpenGL ES.

• Own the display and composition path, including swapchains, frame pacing, vsync, color/HDR, and zero-copy buffer flow.

• Establish performance and quality bars through GPU/CPU profiling, frame-time analysis, and optimization for memory, power, and thermal budgets.

• Collaborate with camera, vision, and UX teams to enable compositing, effects, and media/compute interoperability.

• Drive reliability through robust startup/shutdown, crash capture, graceful GPU resets, and automated graphics tests in CI.

You might thrive in this role if you:

• Have deep experience shipping graphics or high-performance systems on Linux, Android, or iOS devices.

• Have built or contributed to UI/rendering frameworks.

• Are familiar with Vulkan, Metal, or OpenGL ES.

• Are proficient in C/C++ and modern shading languages.

• Understand display pipelines and windowing/compositors (e.g., DRM/KMS, Wayland, SurfaceFlinger/HWC, macOS/iOS render server, IOMobileFramebuffer).

• Have a proven track record shipping real-time rendering features with tight latency, power, and memory constraints.

• Are fluent with profiling and debugging tools (RenderDoc, Xcode Metal frame debugger, perf/ftrace/Instruments, GDB/LLDB).

• Enjoy working closely with designers to balance visual ambition and engineering constraints.

• (Nice to have) Experience with text and 2D stacks (Skia, FreeType/HarfBuzz, CoreGraphics) or vector/raster pipelines.

• (Nice to have) Familiarity with color management and HDR (ICC color profiles, wide-gamut workflows).

• (Nice to have) Experience with compute/graphics interop (Vulkan compute, CUDA/OpenCL/Metal) and image processing chains.

• (Nice to have) Exposure to graphics driver or Mesa stack development, or kernel/media paths.

• (Nice to have) Experience with robotics, AR/VR, wearables, or other real-time, resource-constrained products.

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.

Equal Employment Opportunity

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.

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Responsibilities include: Design, develop, and test robust, high-availability camera software for Ford's In-Vehicle Infotainment (IVI) systems. Implement and optimize software for embedded platforms, ensuring reliability and real-time performance in compute-constrained ECU environment. Lead the integration of camera systems, including capturing, processing, and streaming video feeds to vehicle displays. Collaborate with hardware, software platform engineering teams, and external partners to define requirements and ensure seamless system integration. Debug and troubleshoot complex software issues on target embedded hardware, utilizing various debugging tools and techniques. Contribute to architectural decisions and drive best practices for software development, code quality, and maintainability. Stay current with emerging technologies in camera systems, video processing, and embedded software development.

Qualifications include: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field. A Master's degree is preferred. Minimum of 7+ years of experience in software development, with a significant focus on cameras or embedded systems or automotive background. Deep expertise in C++ programming, including modern C++ standards. Experience with QNX, embedded/automotive Linux or other Real-Time Operating Systems (RTOS). Experience with camera APIs and frameworks such as V4L2 or GStreamer Experience with Git/GitHub as a version control system. Familiarity with Android OS. Nice-to-have Skills: Proficiency in video processing techniques and algorithms using GPU/DSPs. Familiarity with ISP algorithms and camera tuning. Familiarity with image processing and algorithms. Familiarity with Vulkan, OpenGL, or other low-level graphics libraries. Experience with automotive communication protocols (e.g., CAN, Ethernet). Knowledge of software development lifecycle (SDLC) and agile methodologies. Experience with debugging tools and techniques for embedded systems. Understanding of hardware/software interfaces and low-level programming. Experience with software optimization for performance and memory constraints Familiarity with Rust and other defensive coding techniques.

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As a Security Engineering Manager, Platform Security, you will define strategy and execution for cloud security posture, workload isolation, platform guardrails, image integrity, and multi-cloud security across CoreWeave's own Kubernetes infrastructure and third-party cloud platforms including AWS, GCP, and Azure. You will lead and grow a team of platform security engineers and partner closely with Infrastructure, Platform Engineering, SRE, and other security teams to ensure platform security capabilities scale alongside the business.

The ideal candidate has 5 to 10 or more years of experience in platform security, cloud security, infrastructure security, or adjacent security engineering domains. They should have 3 to 5 or more years of experience leading or managing engineers, either as a people manager or technical leader with people responsibility. Strong hands-on depth in Kubernetes security, including admission control, RBAC, network policy, runtime security, and workload isolation patterns, is also required. Experience designing and operating security controls across multiple public cloud platforms (AWS, GCP, Azure), including IAM, account governance, and configuration management, is a plus.

In addition to the above requirements, the successful candidate will be comfortable owning ambiguous problem spaces and turning them into clear technical plans and outcomes. They should communicate clearly and partner effectively across Infrastructure, Platform Engineering, SRE, and Security. Experience with CSPM platforms such as Wiz, container image signing and supply chain security tooling (Sigstore, Cosign, Chainguard), and infrastructure-as-code tooling (Terraform) is preferred.

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You'll have experience debugging custom hardware, working with enterprise build and deployment systems, and building images for embedded Linux systems. You'll also have experience working with Nix/NixOS/Nixpkgs, typed functional programming languages, and designing and bringing AArch64 Embedded Linux products to market.

As a senior member of our team, you'll mentor junior engineers, contribute to the development of our software infrastructure, and help drive the success of our electromagnetic warfare capabilities.

This is a full-time position with a highly competitive salary range of $191,000 - $253,000 USD per year, plus equity grants and top-tier benefits.

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We're seeking a Member of Technical Staff to own the post-training pipeline for our multimodal models end to end. This includes data strategy and reward modeling, preference optimization, distillation, and safety tuning across image, editing, and video.

Responsibilities

• Own the full post-training pipeline end to end , from data curation and reward modeling through fine-tuning, preference optimization, distillation, safety tuning, evaluation, and deployment
• Advance techniques across the post-training stack: SFT, RLHF, RLAIF, DPO, preference learning, and reward modeling to align models with human intent and aesthetic judgment
• Work across modalities: text-to-image, image editing, multi-reference, and video post-training
• Build personalization and customization capabilities that let users adapt our models to their own creative style
• Design and maintain high-throughput fine-tuning and evaluation infrastructure to support rapid iteration across the research team
• Identify quality and alignment gaps through rigorous evaluation, then close them through targeted research and engineering

Requirements

• You've owned post-training for a frontier generative model through release (SFT, preference optimization (DPO or RLHF), distillation, safety tuning) with measurable quality wins on human prefs or standard benchmarks
• Deep experience across the post-training stack, not just one slice: reward modeling, preference learning, RLHF/RLAIF, and personalization
• Comfortable working across modalities: text-to-image, image editing, multi-reference, and ideally video
• Strong PyTorch fluency; you write research code that others can build on
• Experience with distillation (LADD, DMD, consistency models, or similar) or with building high-throughput eval pipelines is a strong plus
• Bias toward shipping: measurable model-quality improvements that reach users, not just papers

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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Key responsibilities include:

• Working with pilots and other drone users to understand how to design UX's to reduce cognitive burden while still ensuring safety of flight
• Designing, building, and deploying a real-time, map-based interface for displaying and interacting with sensor data and commanding physical assets
• Fetching and managing large streams of data while maintaining performant rendering in a low-friction user experience
• Building and designing immersive image-viewing experiences on multiple platforms, including web-based and mobile 3D image viewing
• Partnering with end-users to turn needs into features while balancing user experience with engineering constraints

Core requirements include:

• A degree in Computer Science, Operations Research, Electrical Engineering or related technical degree
• Experience working on frontend applications, especially data-intensive or map-based systems
• 4+ years of professional experience using Javascript, Typescript, React
• Broad experience in delivering functional outcomes
• A mindset towards innovative approaches of problem solving
• Eligible to obtain an active U.S. Secret security clearance
• Willingness to travel up to 25%

Desired requirements include:

• A strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing UI/UX for multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software for flight systems and safety critical functionality
• Distributed communication networks and message standards

US Salary Range: $129,000-$171,000 USD

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Responsibilities:

Hardware Build & Deployment: Build and configure OT hardware including industrial PCs, control stations, and factory equipment. Flash operating system images and software packages onto devices following standard procedures. Test hardware to ensure proper functionality before deployment. Deploy configured hardware to factory locations across campus sites.

Imaging & Configuration: Execute imaging operations using provided tools and instructions. Install software, drivers, and applications on factory systems. Verify that deployed systems are working correctly and meet requirements.

Basic Technical Support: Provide first-line support for hardware issues and assist with troubleshooting. Handle incoming tickets for hardware deployments, replacements, and basic repairs. Perform equipment swaps and reimaging to resolve issues. Escalate complex problems to senior team members.

Inventory & Asset Management: Track hardware inventory including devices, spare parts, and equipment. Maintain accurate records in asset management systems. Receive, inspect, and organize incoming hardware shipments. Assist with equipment returns and replacements.

Documentation: Follow standard operating procedures for imaging and deployment tasks. Document deployment activities and issues in ticketing systems. Complete deployment checklists and records.

Logistics Support: Coordinate hardware movement between campus locations. Support deployment activities during standard hours and occasionally during off-hours. Assist with equipment setup at various factory locations.

Required Qualifications: 1-3 years of experience in IT support, hardware deployment, desktop support, or related technical role. Experience building computers, installing operating systems, or working with hardware. Basic understanding of computer hardware and software installation.

Technical Skills: Comfortable building and assembling computer hardware. Familiarity with operating system installation and imaging processes. Basic troubleshooting skills for hardware and software issues. Ability to follow technical instructions and procedures. Basic computer skills including use of ticketing systems and documentation tools. Willingness to learn new tools and technologies.

Personal Attributes: Detail-oriented with focus on following procedures accurately. Good organizational skills and ability to manage tasks. Self-motivated and able to work with minimal supervision. Good communication skills for working with team members. Comfortable working in factory/industrial environments. Flexibility to occasionally work non-standard hours for deployments. Physical ability to lift and move equipment (up to 50 lbs) and perform hands-on work.

Education: High school diploma or equivalent required. Associate's degree or technical certification is a plus but not required.

Certifications: CompTIA A+ or similar certifications are a plus but not required.

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We're building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.

Responsibilities

• Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)
• Develop and evaluate novel ideas across architecture, optimizers, and training algorithms
• Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design
• Lead focused research projects independently and drive larger cross-team initiatives

Requirements

• You've led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release
• Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies
• Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale
• Strong intuition for architecture and objective design , you've made calls on attention patterns, modulation schemes, or loss formulations that moved a real model
• Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab
• Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code
• Familiarity with visual generative models is a must

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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You will collaborate with internal teams, agents, and customers to provide clarity on underwriting guidelines and decisions. As a subject matter expert, you will also contribute insights to improve underwriting strategies, tools, and communication practices, while supporting team learning and continuous improvement.

Key responsibilities include:

• Evaluating new and renewal property risks based on inspection reports, aerial imagery, and available data sources
• Applying underwriting guidelines and professional judgment to determine risk eligibility
• Validating home replacement cost estimates (RCE) and ensuring proper insurance-to-value (ITV) alignment
• Updating policies as needed to reflect accurate risk classification and valuation
• Responding to agent, customer, and internal inquiries regarding underwriting decisions via chat and email
• Communicating underwriting philosophies, guidelines, and expectations clearly to stakeholders
• Leveraging AI-supported tools and data models to enhance underwriting decisions
• Sharing insights and observations to support improvements in underwriting guidelines and strategy
• Participating in calibration sessions, business reviews, and underwriting meetings to strengthen expertise
• Contributing to the development of team knowledge and best practices

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Key Responsibilities:

• Achieve published standards and other key performance indicators (attendance, revenue, retention, service levels, operational risk)
• Meet all performance targets including standards in quality and productivity
• Abide by first call resolution in alignment with global standards to promote customer satisfaction
• Escalate / proactively manage service levels at times of increased service pressure

Requirements:

• Mortgage Underwriting experience as well as knowledge of Mortgage systems (both LOS and Image)
• Proven bank, mortgage business, mortgage systems related experience or equivalent
• Minimum of bachelor's degree in business, accounting, related field or equivalent experience
• Proven communications, organisational, analytical, administrative, problem-solving, project management and interpersonal skills
• Proficiency with personal computers as well as pertinent HSBC systems and software
• Ability to meet deadlines and objectives independently and within the team

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package, including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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You will collaborate with internal teams, agents, and customers to provide clarity on underwriting guidelines and decisions. As a subject matter expert, you will also contribute insights to improve underwriting strategies, tools, and communication practices, while supporting team learning and continuous improvement.

Key responsibilities include:

• Evaluating new and renewal property risks based on inspection reports, aerial imagery, and available data sources
• Applying underwriting guidelines and professional judgment to determine risk eligibility
• Validating home replacement cost estimates (RCE) and ensuring proper insurance-to-value (ITV) alignment
• Updating policies as needed to reflect accurate risk classification and valuation
• Responding to agent, customer, and internal inquiries regarding underwriting decisions via chat and email
• Communicating underwriting philosophies, guidelines, and expectations clearly to stakeholders
• Leveraging AI-supported tools and data models to enhance underwriting decisions
• Sharing insights and observations to support improvements in underwriting guidelines and strategy
• Participating in calibration sessions, business reviews, and underwriting meetings to strengthen expertise
• Contributing to the development of team knowledge and best practices

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You will collaborate with internal teams, agents, and customers to provide clarity on underwriting guidelines and decisions. As a subject matter expert, you will also contribute insights to improve underwriting strategies, tools, and communication practices, while supporting team learning and continuous improvement.

Key responsibilities include:

• Evaluating new and renewal property risks based on inspection reports, aerial imagery, and available data sources
• Applying underwriting guidelines and professional judgment to determine risk eligibility
• Validating home replacement cost estimates (RCE) and ensuring proper insurance-to-value (ITV) alignment
• Updating policies as needed to reflect accurate risk classification and valuation
• Responding to agent, customer, and internal inquiries regarding underwriting decisions via chat and email
• Communicating underwriting philosophies, guidelines, and expectations clearly to stakeholders
• Leveraging AI-supported tools and data models to enhance underwriting decisions
• Sharing insights and observations to support improvements in underwriting guidelines and strategy
• Participating in calibration sessions, business reviews, and underwriting meetings to strengthen expertise
• Contributing to the development of team knowledge and best practices

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Collaborative by nature, you communicate effectively and enjoy working with diverse, cross-functional teams, sharing knowledge and learning from others. You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing.

Your drive for excellence, adaptability, and enthusiasm for innovation make you a critical contributor to complex engineering projects. If you are looking to make a tangible impact in the world of semiconductor software, and you enjoy solving hard problems while modernizing infrastructure, this opportunity is designed for you.

Responsibilities:

Maintaining and improving existing functionalities within advanced modeling software platforms. Understanding and translating technical requirements from customers into robust model solutions. Designing innovative, physics-driven model solutions by analyzing measurement data and proposing sophisticated algorithms. Creating detailed specifications and comprehensive test plans for proposed model solutions. Collaborating with cross-functional teams,including software, hardware, and customer-facing groups,to ensure seamless solution integration. Applying modern computational techniques to optimize performance and scalability of modeling components. Exploring new modeling approaches and integrating machine learning and image processing methods.

The Impact You Will Have:

Enhancing Synopsys Proteus OPC modeling solutions to meet the evolving needs of semiconductor customers worldwide. Driving innovation in computational lithography and etch modeling, enabling cutting-edge chip design and fabrication. Modernizing infrastructure, improving efficiency, and reducing time-to-market for new technology releases. Solving challenging problems in advanced software engineering, contributing to Synopsys’ reputation as a technology leader. Expanding the capabilities of regression and modeling tools, supporting key industry advancements. Enabling successful integration of new modeling techniques, ensuring scalability and reliability for customers.

What You’ll Need:

MS in CS/EE/Physics/Applied Math or related fields with 8+ years of experience, or PhD with 5+ years. Strong programming skills in Python and C++. Expertise in data structures and algorithms, with proven experience in parallel computing. Deep understanding of physical modeling and statistical analysis/optimization. Experience in image/polygon processing; preferred exposure to machine learning, image processing, and computational lithography.

Who You Are:

Excellent communicator, able to convey complex concepts clearly to technical and non-technical audiences. Team player who values collaboration and thrives in a diverse, multidisciplinary environment. Curious and eager to learn, always seeking new ways to improve and innovate. Detail-oriented with strong analytical and problem-solving skills. Adaptable, resilient, and comfortable tackling ambiguous challenges.

The Team You’ll Be A Part Of:

You will join the Synopsys Proteus OPC modeling team, a group dedicated to advanced regression and etch modeling solutions. The team’s core focus is on developing and optimizing model components, exploring new modeling techniques, and modernizing infrastructure to address challenging problems in advanced software engineering.

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.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education.

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

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Your theoretical knowledge and hands-on expertise in imaging will be applied to all Video components of the camera system resulting in optimized and balanced performance.

Key qualifications include a basic understanding of good camera image quality, knowledge of camera imaging systems, experience in using IQ measurement tools, and experience in testing both objective and subjective image quality.

A Bachelor's degree in Computer Science, Electrical Engineering, or equivalent with 5+ years of relevant working experience in the camera Image Quality field is required. Alternatively, qualified candidates with less experience will be considered as Imaging QA Engineer.

Color Science, Image Science, Camera Image Signal Processing knowledge is a plus, as is C/C++/Python software programming, Linux and Android OS environment experience.

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Your mission is to prototype workflows, test models, and push the creative boundaries of ElevenLabs tools. You'll also work closely with our social and growth teams to produce content that drives awareness, teaches creators what's possible, and showcases the future of AI-powered storytelling.

Requirements:

• Deep experience prompting for image, video, and audio models , with a strong portfolio of examples.
• A sharp design eye and can distinguish between good and great creative.
• Understanding how to craft stories and communicate visually.
• Knowledge of how discovery works across YouTube, Instagram, and X.
• Ability to move fast and independently, with strong creative instincts.
• Experience collaborating with visual or social media teams.
• Experience editing in Premiere Pro or similar tools.

Responsibilities:

• Create world-class AI-generated visuals and videos using ElevenLabs.
• Create large numbers of examples for our explore page.
• Write, refine, and document prompts for cinematic, realistic, and stylized outputs.
• Build prompt guides and workflows to help others replicate and learn from your results.
• Collaborate with the social team to educate users and inspire the community.
• Develop repeatable AI content workflows and help package them for public use.
• Produce growth-driven, social-first assets such as teasers, comparisons, and educational clips.
• Stress-test ElevenLabs tools and contribute structured feedback to the product team.

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Key responsibilities include: Planning the creative production approach for a game title's marketing campaign Driving early concept development for major beats alongside Creative leads and Execution partners Maintaining campaign content planning trackers and syncing with partners to ensure understanding of creative content outlook and status Acting as the key point of contact for downstream production teams when it comes to campaign content asks, budgeting, staffing needs Managing and reducing project risks throughout the creative planning and production process Organizing frequent creative reviews with studio, franchise marketing, talent, licensees/licensors, and other team members to solicit feedback and approval on creative development and campaign plans Supporting executive reviews, managing feedback, and project changes where relevant Forecasting and distributing annual content budgets for creative work Maintaining campaign creative asset budgets and meeting with finance partners to ensure accuracy of budget control documents

Requirements include: 8+ years' experience in Producer roles Strong understanding of pre/post/editorial/design production processes Ability to take projects from inception to execution Resolver of conflicts, able to help people and teams with opposing points of view come together and agree on goals and solutions Total ownership mentality, accountable and invested in great outcomes and high-quality content Familiarity with live-action production Familiarity with the design process and computer-generated imagery (CGI) Common production tools: Airtable, Frame.io, Frontify, Google Drive

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Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favourites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the centre of the broader entertainment ecosystem.

You will be the hands-on technical artist/producer, reporting to the head of XO AI Labs. You will design, prove, and productionize AI-powered creative workflows, creating creative and reliable image, video, and audio pipelines for creative and production teams. You'll architect the creative workflows for an end-to-end AI content creation and deployment solution (from dataset & prompt systems through approvals, versioning, and channel delivery).

Responsibilities:

• Prove new AI-based creative workflows: Rapidly prototype AI-enabled image/video/audio pipelines, run technical validations, and draft playbooks for creative and production teams.
• Own the end-to-end workflows: Specify requirements, data flows, and interfaces across briefing, generation, edit/review, rights/approvals, localization, and QC
• Model & tooling mastery: Operationalize precision controls (e.g., LoRA, Control/conditioning, pose/layout, style transfer, in/outpainting, frame interpolation/upscaling) to deliver brand-true high-quality visuals at scale.
• Production integration: Connect workflows with source control, asset management/DAM, project trackers, render/encode farms, and publishing endpoints; define observability (quality gates, telemetry, cost).
• Guardrails & governance: Embed IP usage, approvals, disclosures, and policy compliance into pipelines; define acceptance criteria, review checklists, and incident handling
• Thought leadership: Provide thought leadership to our organization, promote 'what could be'; lead ‘prove, pilot, and production’ efforts; facilitate showcases and workshops for global partners.
• Global collaboration: Coordinate with studios and regional teams; plan international on-sites to unblock adoption and ensure workflows meet local market needs.

Qualifications:

• 8+ years experience with production content creation (images, videos, etc...), 2+ years integrating AI into content production
• 4+ years of leader experience, building, scaling, and leading teams
• Demonstrated experience building AI-driven creative pipelines (image/video/audio) and putting them into production for marketing or production teams. Experience collaborating or working for creative agencies.
• Hands-on with visual diffusion workflows, prompt & context systems, precise micro-adjustments (control/conditioning, adapters, fine-tuning/LoRA), and quality gates.
• Practical video generation/editing experience (text-to-video, image-to-video, temporal consistency, editing/Upscaling/Interpolation) for campaign use.
• Strong creative and production mindset: versioning, asset QC, rendering/encoding, delivery specs, performance & cost tracking.
• Image and video model tuning and LoRa creation. Driving unique brand and style consistency in creative and production assets.
• Ability to operate in a startup-like setting: requirements discovery, rapid prototyping, iterative delivery with measurable outcomes.
• Collaboration & influence across creative, production, engineering, and legal/policy; excellent training & documentation skills.
• Creativity, critical thinking, and excellent ability communicate complex concepts to a non-technical audience required.
• Experience with Adobe Photoshop, Lightroom, ComfyUI, Veo, Nano Banana, diffusion models, controlnets, LoRA's, etc...
• Willingness and ability to travel internationally.

Preferred Qualifications:

• Experience building or integrating end-to-end content platforms (brief, generate, review, approve, localize, and deploy), including telemetry/observability, cost controls, and quality controls
• Background in motion/3D and creative tooling (e.g., After Effects/Premiere, Blender, Nuke, Unreal/Unity) and strong design fundamentals (typography/layout).
• Familiarity with brand/IP approvals, rights management, and global campaign delivery.
• Experience developing solutions leveraging generative engineering solutions (Cursor, Kiro, Claude Code, etc...)

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Key responsibilities include:

• Providing consistent and effective direction and guidance to the lighting team across levels and cinematics
• Collaborating with other leads in the franchise to ensure pipelines and workflows are up to production standards
• Specifying and working along with engine, graphics, and tools teams to design and implement workflows, techniques, and approaches to the lighting craft and set visual goals
• Providing guidance to other team members to work through technical and creative solutions

We're looking for someone with excellent knowledge of lighting, shading, and PBR for real-time applications, including optimization for performance and quality. Experience shipping AAA titles on current-gen consoles is also required. Additionally, knowledge of color grading approaches and a passion for the technical side of real-time lighting are highly desirable.

If you're a motivated and experienced lighting artist looking for a new challenge, please apply!

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Your responsibilities will include coordinating resources to find root cause and fixes, managing and breaking down problems into items that can be validated, determining proper validation methods, and handling setup and maintenance of industrial bar code printers.

You will also utilize sound knowledge to design and implement vision control systems, familiar with different types of vision cameras and their programming software, and continuously evaluate equipment for improvement for quality and delivery.

Additionally, you will use FIS plant monitoring software to review cycle times of equipment, review and follow up project installations, reprogram equipment for engineering changes and improvements, update program backups for machinery and automation, program new installations of automation, machinery, material handling, and robots.

As part of a team, you will review risk assessments and evaluate equipment safety, assist in training manufacturing personnel and plant electricians, read and modify electrical prints and schematics, Auto CAD, maintain familiarity with OA, CPN/MPN networks and communication protocols for connecting to wireless and wired networks, manage installation and maintenance of virus protection software for controls network PCs, perform PC backup disc images and installation of communication and firmware and controls software.

This position requires high school diploma or GED, 2 or more years of Controls Engineering experience, Bachelors Degree, Electrical background (electrician or technician) preferred, and familiarity with PLC/CNC (Siemens/Allen-Bradley), VFD, Servo, Profinet, ABB and FANUC Robots.

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Your goal is to move the studio from traditional CAD process to an AI-augmented environment where the "emotive character" of a design is protected by intelligent, real-time engineering feedback.

Responsibilities:

• Architect AI Agents: Develop and deploy custom AI agents to automate the monitoring of Design Development Checklists, data pedigree, and property setup integrity.
• Vibe Coding & Visual Scripting: Use natural language-based programming (vibe coding) to create bespoke Python scripts or macros within Catia/3DX that automate repetitive "Studio property" setups and manikin drops.
• Generative 3D Scaffolding: Lead the development of Surface Scaffold files by integrating AI-assisted 3D modeling tools (e.g., Vizcom, Luma AI, or Generative CAD) to rapidly explore "what-might-be" scenarios before committing to formal A-surface.
• Intelligent Feasibility: Lead the completion of studies within Design Feasibility Checkpoint Process by using legacy and predictive AI models to identify potential hardpoint or legislative conflicts earlier than traditional methods allow.
• Augmented Integration: Lead the integration of A-surface with thematic and functional inputs, using AI to ensure the emotive character of the art is preserved while meeting strict engineering and attribute requirements.
• Provocation & Optimization: Provide concept alternatives through generative design prompts, using AI to provoke new ways of reconciling thematic intent with program assumptions.
• Data Orchestration: Manage the flow of data into and out of the studio using automated pipelines, ensuring the "data pedigree" is maintained via intelligent version control.

Qualifications:

• Bachelor of Science Degree in Mechanical Engineering, Automotive Engineering, or Computer Science with a focus on Design.
• 3+ years of experience in complete vehicle layout/package, including Body and Trim.
• 1+ years of experience in Catia V5 or 3DX.
• Demonstrated experience in "Vibe Coding" (e.g., using Replit, Cursor, or LLMs to build functional tools/scripts without deep manual coding).
• Familiarity with AI-3D Workflows: Experience with generative design tools or text-to-3D/image-to-3D pipelines.

Benefits:

• 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
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

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You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images.

Responsibilities

• Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our real-time API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o).
• Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap.
• Work closely with our research teams to improve our core multimodal models for API customer use cases.
• Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience.
• Foster a culture of innovation, continuous improvement, and accountability within your team.

Qualifications

• Proven experience managing engineering teams that deliver complex, high-quality products at scale.
• Strong technical background and proficiency in modern software engineering practices and system architecture.
• Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders.
• Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation.
• Ability to operate effectively in a fast-paced, ambiguous startup environment.

Preferred Qualifications

• Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription.
• Familiarity with real-time streaming technologies, audio processing, and computer vision.
• Hands-on experience with cloud platforms and distributed architectures.

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This means shaping the future of how millions of users interact with AI to bring their ideas to life while establishing technical direction for our most ambitious AI initiatives.

As a Staff Engineer focused on AI Product Experiences, you'll balance hands-on engineering with strategic leadership. You'll elevate engineering quality across the team through code review, design feedback, and mentorship while proactively identifying opportunities and misalignment within EPD.

You'll bring both data-driven rigor and strong intuition to decision-making, designing systems that balance security, usability, and performance.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Ship production code while maintaining strategic perspective, focusing on high-leverage, architecturally challenging work

• Partner with EM, PM, and cross-functional leads to set the roadmap and drive technical decision-making

• Elevate engineering quality and effectiveness, setting technical direction and raising the bar through code review and mentorship

• Proactively identify opportunities and misalignment within EPD and the roadmap, helping resolve them

• Design systems that balance security, usability, and performance while building delightful user experiences

• Operate in both data-driven, hypothesis-testing mode and act on strong intuition, switching back and forth effectively

Requirements

• 7+ years of software engineering experience with at least 1 year building with AI generative technologies (LLMs)

• Prior experience working with CRDTs/YJS, LLMs and image models, WebSockets, and streaming

• Familiarity with context engineering, agent development, and AI patterns (RAG, embeddings, subagents, tool calling)

• Deep expertise building complex, collaborative, real-time web apps with TypeScript and React

• Strong sense of craft with drive to build delightful experiences

• Strong communication skills and experience influencing technical strategy across teams

• High EQ with empathetic, reflective, self-aware, growth mindset that actively promotes psychological safety for the team

Compensation Range

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $340K plus benefits & equity.

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You'll work across the entire stack, from prompt engineering to frontend integration, shaping how millions of people use AI to create presentations, documents, and websites. You'll partner closely with product, design, and engineering to turn AI capabilities into polished, delightful experiences that users reach for every day.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Design and implement full-stack AI features using LLMs and image generation models

• Build, optimise, and evaluate AI workflows using Gamma's in-house JSX-based prompting framework

• Experiment with new models and providers to improve content creation quality, cost, and reliability

• Ship features that integrate cutting-edge AI into intuitive user experiences across millions of daily requests

• Collaborate with product and design to translate AI possibilities into polished, user-facing features

• Optimise AI performance and cost at scale, balancing quality with speed and reliability

Requirements

• 3+ years building production web applications with strong full-stack fundamentals, including proficiency in TypeScript, React, and Node.js (or similar)

• Experience working with LLMs, prompt engineering, or AI/ML systems in production, with genuine curiosity about new models and capabilities

• Familiarity with frontend engineering, state management, data models, and API design

• Strong product sense, with the ability to translate technical AI capabilities into real user value

• A curious, self-driven mindset that matches your technical skill

• Experience building AI-powered consumer products or working with image generation models (Nice to have)

Compensation

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $275K plus benefits & equity.

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You'll own the core AI systems that power Gamma, elevating quality, evaluating new frontier models, and pushing into new capabilities and modalities. This work operates at massive scale, with over 1 million AI-generated presentations and 6 million AI images created every day.

Your job is to productize existing foundation models, not train new ones. You'll focus on prompting, evaluating, and fine-tuning for maximum performance across Gamma's product surface. You'll also launch new modalities like voice and video, build the evaluation infrastructure to measure what 'good' looks like, and own uptime, latency, and cost across our AI stack.

You'll work closely with engineering and product to ship improvements that millions of users feel immediately.

What you'll do

• Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across text, layout, and visual generation
• Develop complex prompts for new features using AI JSX, balancing creativity with reliability
• Build evaluation frameworks for prompts and models, combining quantitative metrics with qualitative feedback to create better test sets
• Drive the AI roadmap based on quality gaps, constantly evaluating new frontier models and methods
• Curate datasets for fine-tuning open-source models and launch new modalities like voice and video
• Own analytics, tracking, uptime, latency, and cost across Gamma's AI infrastructure

What you'll bring

• Proven track record pushing foundation models to their limits, with hands-on experience building and evaluating prompts at scale
• Proficiency in TypeScript and Python, with a software engineering foundation that lets you move fluidly between prompt engineering and production development
• Strong data instincts: experience writing evals, designing metrics, and translating qualitative feedback into measurable, actionable improvements
• Self-sufficient in gathering and cleaning data to inform prompt improvements and model evaluations
• Experience with modern LLMs and image models such as Flux and Imagen (Nice to have)
• Familiarity with AI tooling like AI JSX for prompting and Braintrust for evaluations (Nice to have)

Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $300K plus benefits & equity.

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You'll ship high-craft, intuitive AI features (including agents) that power Gamma's presentation product, own these systems end-to-end, ensuring reliability, performance, and scalability as we grow to hundreds of millions of users. You'll design and implement sophisticated AI workflows that integrate LLMs and image models seamlessly into real-time collaborative experiences, elevate engineering quality and effectiveness across the team through code reviews, mentorship, and establishing best practices, shape Gamma's technical future in AI and product, influencing architecture decisions and technical strategy, and build systems that balance security, usability, and performance at massive scale.

We have a strong in-office culture and work in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

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Responsibilities:

• Define and own the end-to-end technical roadmap for Copilot image generation , from prompt understanding and model integration to evaluation, quality, and reliability.
• Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization.
• Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones.
• Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy.
• Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces.
• Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images.
• Build and own the feedback loop from user signals to model and prompt iteration.
• Close the loop from production data to systematic improvements.
• Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Preferred Master's degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field.
• 5+ years of industry experience in applied ML, AI product engineering, or related disciplines.
• 1+ years managing a team of engineers or data scientists.
• Demonstrated experience shipping production AI or ML systems at scale.
• Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities.
• Hands-on experience building evaluation frameworks or quality systems for AI/ML products.
• Track record of driving measurable quality or performance improvements through systematic iteration.
• Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.).
• Experience building and owning hillclimbing infrastructure for generative AI.
• Formal people management experience, including hiring and performance management.
• Experience working on consumer AI products with high user visibility and quality bar.
• Prior work in responsible AI for generative media, including safety filtering and content policy enforcement.

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Responsibilities:

Model Development & Training: Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based). Implement and adapt techniques from research papers into working production systems. Design and run experiments to improve image quality, diversity, and controllability. Curate, clean, and manage large-scale image-text training datasets.

Evaluation, Hillclimbing & Quality Systems: Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality. Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance. Analyze failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure: Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines. Create reusable frameworks that accelerate the entire AI org’s ability to ship high-quality assistant features.

Applied ML & Product Integration: Integrate LLMs with product surfaces, APIs, and backend systems. Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence. Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork: Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity. Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate. Contribute to a culture of experimentation, clarity, and high-quality execution. Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency. Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Production & Infrastructure: Optimise models for inference latency, throughput, and cost (quantization, distillation, batching). Build and maintain serving pipelines for real-time and batch image generation. Develop APIs and SDKs that expose image generation capabilities to downstream teams/products. Monitor model performance in production; debug quality regressions.

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The tasks of the thesis include the analysis of safety-critical thermal runaway scenarios in lithium-ion batteries and the development of a methodology for AI-supported detection, tracking, and evaluation of particles in the venting process. For this purpose, suitable neural network architectures are identified for particle tracking in highly dynamic and optically challenging environments, and their performance is evaluated in comparison to established image-based methods such as PIV. Based on experimental high-speed recordings, relevant physical parameters are derived and their validity for characterising the thermal runaway event is assessed. The work typically includes the following focal points:

Literature review on particle tracking procedures, image-based flow analysis, and AI methods in the context of safety-critical battery scenarios (e.g., neural networks, deep learning for computer vision, tracking algorithms). Analysis of the physical and measurement-related boundary conditions at thermal runaway of lithium-ion batteries, particularly the gas particle emission and the associated thermal, mechanical, and abrasive stresses. Design, implementation, and training of a neural network for detection and tracking of particles in high-speed recordings of the venting process. Evaluation and validation of the developed approach using experimental data and comparison with classical PIV methods regarding accuracy, robustness, and validity. Derivation of characteristic parameters for qualitative and quantitative description of particle emission during thermal runaway. Documentation and scientific preparation of the results in the framework of a bachelor's or master's thesis with strong practical relevance.

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Responsibilities

• Research and develop new methods for simulating sensor data
• Collaborate with other teams to integrate sensor simulations into production processes
• Analyze and optimize sensor simulation algorithms for improved accuracy and efficiency
• Develop and maintain documentation for sensor simulation methods and tools
• Present research findings and results to internal stakeholders

Requirements

• PhD in Computer Science, Mathematics, or related field
• Strong background in machine learning and deep learning
• Experience with computer vision and image processing
• Proficiency in Python and C++ programming languages
• Excellent communication and collaboration skills

Nice to Have

• Experience with Gaussian splatting and other sensor simulation techniques
• Familiarity with popular machine learning frameworks such as TensorFlow and PyTorch
• Experience with Linux operating system and Git version control

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading automotive manufacturer
• Collaborative and dynamic work environment
• Professional development opportunities

If you're passionate about research and development, and want to contribute to the creation of innovative sensor simulation techniques, we encourage you to apply for this exciting opportunity!

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In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Your tasks will include:

• Working with a team of product managers, agronomists, and developers to integrate and adapt models into existing applications
• Conducting data analyses and visualizing results
• Supporting the development of innovative solutions for precision agriculture

We offer a dynamic and inclusive work environment where you can bring your ideas and perspectives to the table. Our team is committed to making a positive impact on the world through our work.

As a practicum student, you will have the opportunity to gain hands-on experience and develop new skills in a real-world setting. You will be supported by experienced colleagues and have access to a range of resources and training opportunities.

If you are passionate about AI, data science, and precision agriculture, we encourage you to apply for this exciting opportunity.

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Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking).

The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

The position requires a strong background in computer vision, machine learning, and software development, with experience in developing and implementing computer vision algorithms for space-based applications. The ideal candidate will have a deep understanding of computer vision principles, including object detection, tracking, and recognition, as well as experience with software development in languages such as C++ and Python.

Key Responsibilities:

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

Required Qualifications:

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred Qualifications:

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• 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
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

The Cloudflare Associate Solution Engineering Program is a 12-month rotational experience designed to launch your career in pre-sales engineering. You'll combine technical depth, customer problem-solving, and business acumen to make Cloudflare's technology accessible and valuable for customers across Asia-Pacific.

Responsibilities

• Shadow customer calls and technical deep-dives with Enterprise and Strategic accounts
• Build and deliver product demonstrations tailored to customer use cases (web security, performance, serverless computing)
• Participate in workshops on Cloudflare technologies: Workers, Zero Trust, DNS, DDoS mitigation, WAF
• Collaborate with Sales, Product, and Engineering teams to solve customer technical questions
• Document customer requirements and translate them into solution architectures
• Rotate between GCR, ANZ, and ASEAN customer teams every 4 months
• Contribute to internal tooling, demo environments, or solution accelerators

Requirements

• Have graduated within the past 2 years (or have equivalent demonstrated technical experience through boot camps, self-study, or professional work)
• Can explain core networking concepts (e.g., how DNS resolution works, what happens when you visit a URL, difference between TCP/UDP)
• Are available to start in July 2026 and commit to 12 months including regional rotations
• Communicate fluently in English (written and verbal)
• Can manage multiple concurrent projects with competing deadlines
• Are authorized to work without sponsorship

Nice to Have

• Internship or project experience in a customer-facing, consulting, or technical sales environment
• Proficiency in Mandarin, Cantonese, or Bahasa Indonesia (for serving regional customers)
• Scripting skills in Python, JavaScript, Bash, or similar
• Hands-on experience with web technologies: HTML/CSS/JS, HTTP APIs, or cloud platforms (AWS/GCP/Azure)
• Demonstrated ownership of technical projects (GitHub portfolio, conference talks, open-source contributions)

Technologies you'll work with:

• Cloudflare's edge network
• Workers (serverless)
• Zero Trust security
• DNS/CDN
• DDoS mitigation
• WAF
• API Gateway
• R2 storage
• Stream
• Images

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You will be a member of the user well-being team, with an initial focus on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

You may be a good fit if you have:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $245,000-$285,000 USD

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The ideal candidate will have 7+ years of experience with a BSEE or related field, strong experience with DSP implementation for embedded devices and/or software defined radios, strong knowledge of Python and MATLAB, experience with CUDA or GPU accelerated frameworks like cuSignal, experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios, skilled with Modeling and Simulation of RF systems including Radar and SAR, familiar with deep learning algorithms, experience with ML frameworks such as TensorFlow and PyTorch, familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.), excellent at balancing multiple projects at any given time and/or managing a larger team for a larger program, enthusiastic about both working with a team and executing some work individually (depending on program scope), experience with Electronic Warfare systems, and currently possesses and is able to maintain an active U.S. Secret security clearance.

Preferred qualifications include a Master's or PhD degree in Electrical, Electronics, Computer Engineering, or related fields, defense, national security, or aerospace domain familiarity through industry or education, extensive Digital Signal Processing (DSP) knowledge and experience, expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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Your role will involve hands-on software development and collaboration with cross-functional teams to ensure optimal performance and integration of cutting-edge technologies.

Key responsibilities include:

• Owning the product technical road map and working with functional leads to prioritise development of features for customers
• Being the technical expert on the full suite of product system software
• Working with customer teams and customers to convert requirements into execution
• Implementing high-priority capabilities
• Influencing functional teams to get their best work

Required qualifications include 5+ years of experience in software engineering, a degree in Computer Science, Computer Engineering, or equivalent, and ability to write and review code in C++, Python, and JavaScript.

Preferred qualifications include ability to write and review code in Nix, experience in edge robotics software architecture, and understanding of the network layer coherent with message busses.

US Salary Range $191,000-$253,000 USD.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work.

Okta's Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Site Reliability Engineer to join a team focused on designing and developing Security solutions to harden our cloud infrastructure.

We encourage you to prescribe defence-in-depth measures, industry security standards and enforce the principle of least privilege to help take our Security posture to the next level.

Our Infrastructure Security team has a niche skill-set that balances Security domain expertise with the ability to design, implement, rollout infrastructure across multiple cloud environments without adding friction to product functionality or performance.

We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

This is a high-impact role in a security-centric, fast-paced organisation that is poised for massive growth and success.

You will act as a liaison between the Security org and the Engineering org to build technical leverage and influence the security roadmap.

You will focus on engineering security aspects of the systems used across our services.

Join us and be part of a company that is about to change the cloud computing landscape forever.

As a Staff Engineer, you should be able to identify gaps, propose innovative solutions, and contribute to roadmaps while driving alignment across multiple teams within the organisation.

Additionally, you should serve as a role model, providing technical mentorship to junior team members and fostering a culture of learning and growth

What are we looking for?

We are looking for a security-first SRE engineer who doesn't just 'flag' issues but builds the automation to solve them.

You should have a deep-seated intuition for cloud-native security and a proven track record of hardening large-scale GCP and AWS environments.

As a Technical SME, you will design and build production infrastructure with a 'security-at-scale' mindset.

What You Will Work On?

Security Evangelism: Lead initiatives to strengthen our security posture for critical infrastructure and promote best practices across the engineering organisation.

Incident Response & Reliability: Respond to production security incidents, perform root cause analysis, and build automated preventions to ensure high performance and reliability.

Automated Hardening: Identify manual security processes and automate them using custom tooling and CI/CD integrations.

Architecture & Documentation: Develop technical documentation, runbooks, and procedures for a 24x7 online environment.

Platform Evolution: Continuously evolve our monitoring platforms, moving from simple auditing to active, automated prevention.

Minimum Required Knowledge, Skills, & Abilities:

Experience: 8+ years of experience architecting and running complex cloud networking and infrastructure, with at least 7+ years specialised in DevSecOps or Cloud Security.

GCP Expertise: Minimum 3+ years of deep, hands-on experience securing GCP (GKE, GCE, Shared VPC etc).

Infrastructure as Code (IaC): 10+ years of experience using Terraform and Chef to manage complex cloud resources and OS hardening.

Automation Mastery: Expert-level proficiency in Go, Python, or Ruby for building custom security tooling and automated remediation.

Hardened Containers: Proven track record of securing containerised workloads, including image scanning, K8s RBAC, and runtime security tools (e.g., CrowdStrike Falcon, Falco, or gVisor).

Unflappable Troubleshooting: A 'see a problem, fix the problem' mindset with the ability to debug complex networking, IAM, or performance issues under pressure.

Security Foundations: Strong grasp of Linux internals, OS hardening (CIS benchmarks), and IP protocols (TLS/SSL, DNSSEC, BGP).

Education: BS in Computer Science or equivalent professional experience.

Key Responsibilities:

IAM & Secrets Management: Design and maintain large-scale production IAM policies and secrets management workflows.

Infrastructure Hardening: Implement and maintain Public Key Infrastructure (PKI) and ensure all GCE/GKE environments meet strict compliance standards.

Operational Excellence: Utilise industry-standard tools like OSQuery, Splunk, Chronicle, Nessus, or Qualys/Crowdstrike to monitor system health and security telemetry.

Strategic Rollouts: Lead the phased transition of security policies from Audit/Detection mode to Blocking/Prevention mode, ensuring zero impact on production uptime.

Bonus Points For:

Multi-Cloud IAM Governance: Experience designing a unified IAM framework across AWS and GCP, utilising federated Identities such as Workload, Workforce Identity Federation with understanding of SAML & OIDC auth mechanism and automated 'Least Privilege' enforcement.

Cloud-Native Reliability Engineering: Deep understanding of multi-cloud reliability patterns, maintaining high availability (HA) during security patching or infrastructure-wide hardening.

Hardened Kubernetes Orchestration: Advanced experience securing GKE, EKS, and kOps, specifically implementing Pod Security Standards, Network Policies, and Admission Controllers for a 'Zero-Trust' posture.

Threat Modeling: Security Reviews & Threat Modeling at both Design & Implementation scope.

The Okta Experience - Supporting Your Well-Being - Driving Social Impact - Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

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You will be a member of the user well-being team, and your initial focus will be on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

Requirements:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred Qualifications:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

Compensation:

The annual compensation range for this role is $245,000-$285,000 USD.

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As an Image Specialist, you will contribute to xAI's mission by training and refining Grok's ability to interpret and generate compelling and tasteful visual content.

Responsibilities

• Use proprietary software to provide labels, annotations, and inputs on projects involving images and visual media.
• Deliver high-quality curated data that captures visual nuances and enhances Grok's understanding of composition, lighting, color, and style.

Basic Qualifications

• Portfolio displaying excellence in visual work - photography, digital art, illustration, graphic design, or similar.
• Strong skills in composition, lighting, color theory, and visual storytelling.
• Hands-on experience with AI image generation tools.
• Ability to critically analyze and articulate what makes an image work or fail.
• Strong communication and analytical skills.

Preferred Skills and Experience

• Experience in photo editing, retouching, or post-production workflows.
• Familiarity with prompt engineering techniques for image generation models.
• Background in art direction, visual critique, or creative feedback roles.
• Familiarity with ComfyUI workflows.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

Compensation and Benefits

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Responsibilities:

• Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences).
• Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data.
• Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence.
• Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content.
• Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.
• Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback.

Basic Qualifications:

• Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling.
• Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.
• Experience developing or working with large-scale distributed machine learning systems.
• Ability to deliver optimal end-to-end user experiences.
• Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication.

Preferred Skills and Experience:

• Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.
• Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.
• Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).
• Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).

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The best generative models aren’t just a product of model architecture and compute, they are a product of the training data. The model output reflects someone’s obsession over what goes into the data, how it’s processed, and what gets thrown away. We’re looking for the person who does the obsessing and builds the tools to act on it at scale.

This isn’t a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.

Responsibilities:

• Discover, evaluate, and acquire training data
• Build data processing and curation systems
• Look at the actual data constantly
• Close the data → model → evaluation loop
• Deploy ML models for data enrichment
• Make systematic, documented decisions

Requirements:

• Strong software engineering fundamentals
• Deep experience with image and video data at scale
• Experience with distributed computing
• Experience using ML models as components
• A research-oriented approach to data decisions
• Familiarity with the model training lifecycle

Nice to Have:

• Familiarity with columnar and large-scale data storage formats and libraries
• Track record of independently discovering and integrating new data sources into a training pipeline
• Direct experience closing the data → model quality loop
• Strong visual intuition for data quality and diversity

What This Isn’t:

• Not infrastructure
• Not pure research
• Not a role where you wait for instructions

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As a member of our team, you'll design and implement novel computer vision algorithms from scratch, optimised for real-time performance. You'll develop and maintain C++-based CV pipelines as part of autonomous mission systems, collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions, and support the integration of deep learning models into broader CV systems.

In this role, you'll have the opportunity to stay across current academic research and emerging techniques in computer vision and ML, and contribute to the development of custom algorithms, not just apply libraries.

Why Shield AI?

• Build mission-critical vision and autonomy systems that make a real-world impact.
• Collaborate with some of the best minds in AI, autonomy, and defence technology.
• Hybrid role based in our Port Melbourne office.
• Salary + equity for permanent roles, with a strong career development pathway.

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You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.

You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and work closely with (*applicant's) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.

Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems.

As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities:

• Help develop KoBold's proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

Qualifications:

• Technical skills, including extensive experience with Python's data science packages and general software engineering practices.
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Cloud computing resources.
• Building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Data from a variety of physical systems.
• Geospatial analyses and visualizations.

Technical knowledge:

• Broad skills in and knowledge of applied statistics and Bayesian inference.
• Substantial understanding of machine learning algorithms.

Training and work experience:

• An advanced degree in the physical sciences, engineering, computer science, or mathematics.
• A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
• Experience leading technical teams to apply novel scientific approaches to core business problems.

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.

Preferred skills include creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning and other computations.

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You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities:

• Help develop KoBold's proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

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This is a full-cycle role, and you will be responsible for everything from first touch to close to renewal and upsell. You will work with a variety of accounts, including fast-moving AI startups and household-name enterprises. You will need to be able to land deals, prove value, and grow accounts into strategic relationships.

If you're already closing deals and want to be at the forefront of the generative AI wave, this is the role for you.

We're looking for someone who has closed real deals, moves fast, and is hungry to have outsized impact at a company where your work directly drives revenue. You should have 2-4 years of experience in a closing sales role, ideally with a BDR-to-AE progression. You should be comfortable discussing model capabilities, API integration, and deployment with technical buyers. You should have a track record of managing a high volume of accounts and deals in parallel without dropping balls. You should be organized, disciplined, and self-directed.

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Member of Technical Staff - Image / Video Generation

Job Description

We're the team behind Latent Diffusion, Stable Diffusion, and FLUX,foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video,tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Why This Role

You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn't about following established recipes,it's about running the experiments that clarify which architectural choices matter and which are less impactful.

What You’ll Work On

• Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters
• Rigorously ablates design choices,running experiments that isolate variables, control for confounds, and produce insights you can actually trust,then communicating those results to shape our research direction
• Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously
• Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough

What We’re Looking For

• You've trained large-scale diffusion models and developed strong intuitions about what matters. You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation. You're comfortable debugging distributed training issues and presenting research findings to the team.

Required Skills

• Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training
• Experience fine-tuning diffusion models for specialized applications,upscalers, inpainting, outpainting, or other tasks where understanding the domain matters as much as understanding the architecture
• Deep understanding of how to effectively evaluate image and video generative models,knowing which metrics correlate with quality and which are just convenient proxies
• Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning
• Solid understanding of distributed training techniques,FSDP, low precision training, model parallelism,because our models don't fit on one GPU and training decisions impact research outcomes

Preferred Skills

• Experience writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors
• Proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers
• Know the performance characteristics of different architectural choices at scale
• Have published research that contributed to how people think about generative models

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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You'll need to have deep technical fluency, either in image/video generation or a technical background such as engineering or solutions architecture. You'll also need to have a proven track record in business development and partnerships in AI, cloud, or technical infrastructure. Strong analytical rigor and market research capabilities are essential, as well as the ability to hold technical conversations with engineers and translate them into commercial strategy.

This is a remote-friendly role with a base annual salary of $160,000 - $225,000 USD for the San Francisco-based position.

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We currently have 614 open roles

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.

You are a talented engineering professional with a deep passion for leveraging simulation software to solve complex challenges. You thrive in dynamic environments, demonstrating strong technical acumen and the ability to build trusted relationships with customers. Your experience spans across electrical engineering and advanced simulation tools, and you possess a comprehensive understanding of industry applications, including IC and 3DIC design, power integrity, signal integrity, and EMI.

What You’ll Be Doing:

• Lead and assist in coordinating technical activities throughout sales opportunities, including customer meetings, product presentations, demonstrations, and evaluations.

• Analyze customer technical needs, infrastructure, operations, and engineering workflows to identify optimal solutions.

• Create and demonstrate simulation solutions that streamline workflows and support the software sales process.

• Participate in internal initiatives to enhance solution suites, presales/sales enablement, and personal professional development.

• Articulate Synopsys' value proposition across its portfolio of products, tailoring messaging to varied customer requirements.

• Instruct introductory and intermediate training classes on Synopsys product usage, fostering knowledge and adoption among customers.

• Develop elegant, practical solutions for complex business problems by collaborating with cross-functional teams.

• Build technical credibility with customers and translate their needs into actionable product development requests.

• Deliver hands-on deployment services, ensuring customer success metrics are achieved and exceeded.

• Perform other duties as assigned to support customer engagement and product excellence.

The Impact You Will Have:

• Drive adoption of Synopsys software solutions, enabling customers to solve engineering challenges efficiently.

• Facilitate successful sales outcomes by providing expert technical support and guidance throughout the opportunity lifecycle.

• Enhance customer satisfaction and loyalty by delivering tailored, high-impact simulation solutions.

• Contribute to product innovation by translating real-world customer needs into development requests.

• Support cross-team collaboration, enriching the solution suite and enabling continuous improvement.

• Elevate Synopsys’s reputation as a trusted partner in engineering simulation and product development.

• Empower customers to deliver radically better products through advanced simulation and technical expertise.

What You’ll Need:

• Master’s degree in Electrical Engineering or a related technical discipline.

• Minimum of 5 years’ experience in an engineering software environment; 3 years is a plus.

• Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages.

• Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement.

• Exceptional interpersonal and communication skills, including webinar and presentation facilitation.

• Fluent English writing and presentation skills.

• Logical problem-solving approach with clear communication of solutions to customers.

• Professional image and business acumen in customer interactions.

• Organizational and follow-up skills with a sense of urgency.

• Python programming skills and IC/3DIC design knowledge are a plus.

• Ability to travel up to 60% as required.

Who You Are:

• Customer-focused and service-oriented, always striving for excellence.

• Self-motivated with a passion for technical innovation and continuous learning.

• Collaborative, able to work effectively across teams and disciplines.

• Adaptable and resilient, comfortable handling multiple projects and changing priorities.

• Detail-oriented and organized, delivering high-quality solutions on time.

• Strong communicator, capable of engaging diverse audiences and fostering technical credibility.

• Professional, projecting confidence and expertise in all customer interactions.

The Team You’ll Be A Part Of:

You will join an energetic, collaborative team of engineering professionals focused on driving customer success with ANSYS software solutions. The team is committed to continuous innovation, professional growth, and delivering exceptional value to regional accounts. Together, you will tackle complex engineering challenges, support sales initiatives, and contribute to the development and enhancement of industry-leading simulation products.

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.

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Your responsibilities will include conducting introductory, intermediate, and advanced training sessions for customers, and scoping/delivering professional services projects. You will also gather customer requirements and market trends to inform improvements to Ansys software, collaborate with product development teams to translate feedback into new features, and test new software releases on real-world industrial problems and provide feedback to enhance product performance and usability.

In this role, you will participate in internal initiatives to share knowledge, establish best practices, and develop simulation solutions and FAQs for the knowledge base. You will work closely with customers, sales, and product development to drive innovation and ensure success.

As an Optical Applications Engineer, you will have the opportunity to elevate customer satisfaction and productivity by delivering timely, high-quality technical support and solutions. You will drive adoption of Ansys Lumerical tools and support software revenue growth through expert pre-sales and post-sales engagement. You will empower customers to innovate and validate their designs faster and more accurately with advanced simulation software.

If you are a passionate engineer with a deep understanding of optics and photonics, eager to solve challenging engineering problems and make a significant impact in the industry, we encourage you to apply for this exciting opportunity.

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At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.

Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.

unparalleled opportunities to work with a talented team of researchers and engineers.

Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research.

Responsibilities:

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• 2+ years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
• Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.

Preferred Qualifications:

• Demonstrated experience in large-scale training of multimodal generative models.
• A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.

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Your mission is to solve complex security problems through software engineering, focusing on three core pillars:

• Identity & Network Security: Engineering high-performance IAM controls and zero-trust network architectures.
• Unified Vulnerability Orchestration: Architecting a custom 'single pane of glass' for security data.
• Compliance as Code: Building the automated systems that provide real-time evidence for frameworks like SOC 2, ISO 27001 & PCI.

You will be a key member of our growing Security Engineering team, working at the intersection of Infrastructure, Cross-Cutting, and GRC. We operate like a specialized product team: we identify security friction and build the software to eliminate it.

You will lead the design and maintenance of our internal security tool suite, written primarily in Go, to automate evidence collection and real-time remediation of security alerts. You will also write and peer-review Terraform and custom providers to manage identity and core infrastructure across AWS and GCP.

The team supports the use of Go, Terraform, Kubernetes, and Cilium. Experience with eBPF, Sigstore/Cosign, image provenance, and SBOMs is desirable.

Engine by Starling offers a range of benefits, including 33 days holiday, an extra day's holiday for your birthday, annual leave increased with length of service, and a company-enhanced pension scheme.

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About Engineering at Engine by Starling

At Engine by Starling, we don't do 'checkbox security',we build security software. We treat security as a first-class engineering discipline, where the solution to a threat isn't a policy, but a robust, concurrent system written in Go.

As a Cloud Security Software Engineer, you will be a hands-on builder responsible for the security architecture of our multi-tenant core banking platform. You'll spend your days architecting and writing Go-based tooling, automating defenses, and ensuring our infrastructure across AWS and GCP is secure by design and compliant by default.

The Mission

Your mission is to solve complex security problems through software engineering, focusing on three core pillars:

• Identity & Network Security: Engineering high-performance IAM controls and zero-trust network architectures. You will lead the way in refining edge-defense strategies and trust redirection, ensuring every request is verified and encrypted at scale.
• Unified Vulnerability Orchestration: Architecting a custom 'single pane of glass' for security data. You will build Go-based API integrations and microservices that bridge scanning engines, dependency trackers, and internal portals into a seamless, automated ecosystem.
• Compliance as Code: Building the automated systems that provide real-time evidence for frameworks like SOC 2, ISO 27001 & PCI. You’ll ensure we stay compliant through continuous, automated validation rather than manual overhead.

The Team

You will be a key member of our growing Security Engineering team, working at the intersection of Infrastructure, Cross-Cutting, and GRC. We operate like a specialized product team: we identify security friction and build the software to eliminate it. You won’t work in a silo; you’ll collaborate with engineers across the business to deliver a platform that is resilient by default.

About You

We are looking for Software Engineers who are passionate about the Go ecosystem and want to apply those skills to mission-critical security challenges. Whether you come from a Security Engineering background or you are a Backend Engineer with a 'security-first' mindset, we value your ability to write clean, maintainable, and efficient code.

What you’ll get to do

• Engineering Security Tooling: Lead the design and maintenance of our internal security tool suite, written primarily in Go, to automate evidence collection and real-time remediation of security alerts.
• Infrastructure as Code: Write and peer-review Terraform and custom providers to manage identity and core infrastructure across AWS and GCP.
• Supply Chain Security: Build automated systems to manage container provenance and integrate security analysis into our CI/CD pipelines (GitHub Actions/TeamCity).
• Cloud Native Defense: Engineer Kubernetes security solutions leveraging Cilium, eBPF, and custom controllers to protect our microservices.
• Cryptographic Engineering (PKI): Build and maintain our Go-based Certificate Authority (CA) tooling and internal PKI infrastructure.
• Incident Response: Support the team in automated incident response, building the tools that help us investigate and mitigate threats faster.

Requirements

What skills are essential:

• Go Specialist: You are proficient in Go. You understand its concurrency models, testing patterns, and how to build idiomatic, performant services.
• The Builder Mindset: You find manual work a personal affront. If a task needs to be done twice, you’ve already started planning the automation for it.
• Cloud Native: Practical experience with AWS or GCP, ideally managed through Terraform.
• Container Expertise: You understand Kubernetes internals,from the runtime security to the service mesh.
• Identity & Networking: Strong understanding of cloud identity models and network protocols.

What skills are desirable:

• Experience with Cilium or eBPF-based security monitoring.
• Knowledge of Sigstore/Cosign, image provenance, and SBOMs.
• Familiarity with hardware security modules (HSMs) or advanced cryptography.
• Cloud-native security certifications (AWS/GCP).

Benefits

• 33 days holiday (including public holidays, which you can take when it works best for you)
• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Incentives refer a friend scheme
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

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At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.

Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.

Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research.

Responsibilities

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• 2+ years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
• Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.

Preferred Qualifications

• Demonstrated experience in large-scale training of multimodal generative models.
• A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.

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Key responsibilities include:

• Developing and maintaining firmware for HID products
• Validating and testing firmware for quality and reliability
• Collaborating with our engineering, marketing, operations, quality, and regulatory teams
• Analyzing and resolving software and firmware issues
• Documenting project-related information, such as flow diagrams, requirement specifications, and test schedules

Requirements include:

• Bachelor's or Master's degree in Computer Science or equivalent
• Minimum 2 years of relevant engineering experience in firmware development
• Strong programming skills in C language
• Experience with designing for USB peripherals, I2C, SPI, UART, I2S, and other peripheral control
• Familiarity with ARM MCU programming and general-purpose microcontrollers
• Knowledge of digital hardware circuit and low-power and battery-powered designs
• Excellent problem-solving and decision-making skills
• Ability to work in a fast-paced, limited-resource environment

Preferred skills include:

• Experience with gaming controllers for Xbox, PlayStation, Nintendo Switch, and mobile devices
• Knowledge of GIP security protocol, LCD displays, and image processing
• Data encryption and security
• Creating and maintaining communication protocols
• Test equipment such as oscilloscopes, USB analyzers, and WiFi analyzers
• Wireless products based on WiFi, Bluetooth, and RF technologies

If you are a motivated and detail-oriented individual with a passion for firmware development, we encourage you to apply for this exciting opportunity.

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Key responsibilities include:

• Developing and maintaining firmware for HID products
• Assisting in the generation of product specifications, test procedures, and qualification criteria
• Collaborating with cross-functional teams to realize HID programs from concept to implementation and into production

To succeed in this role, you will need to have a strong background in firmware development, excellent problem-solving skills, and the ability to work in a fast-paced environment.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

If you are a motivated and experienced Firmware Software Engineer looking for a new challenge, please submit your application.

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Key Responsibilities:

• Specify, source, and manage specialist IT hardware for applications such as Realtime simulation hardware, Image generator graphics PCs, Edge computing hardware, and Compute resource Servers.
• Improve quality across all existing specialist IT systems such as Pipeline build agents, Hardware in the loop testing systems, and Simulation compute resource.
• Manage network configurations to facilitate secure, reliable performance of Image generator graphics PCs, Database and deployment services, and Package repositories.
• Work with IT suppliers to design secure IT systems across multiple sites.
• Support our use of modern software platforms and integrate to facilitate fast, robust software development and deployment: Azure DevOps repositories and pipelines, Jira and Confluence, and Docker.
• Manage software licensing (FlexNet).
• Work with customers to safely and quickly integrate our Motion Generators and accompanying IT hardware on site.

Essential Skills and Qualifications:

• Enthusiasm and ownership.
• Experience managing IT infrastructure.
• Understanding of network security and edge device management.
• Experience with Microsoft services such as Office 365, Azure Portal, and Azure Active Directory.
• Experience with software platforms and services for continuous deployment such as GitLab, BitBucket, or Azure DevOps.

Why join Dynisma?

Dynisma is growing rapidly, and we are looking for outstanding people across all parts of the business to help build our future. The culture is flat, with hands-on application, innovation, and experimentation constantly in mind. Benefits include a competitive basic salary, pension, life insurance, private medical insurance, 25 days holiday, Cycle to work, and electric car vehicle schemes.

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We're seeking an Environment Artist to join our team at EA Sports UFC. As an Environment Artist, you will be responsible for creating high-quality, visually stunning environments that bring the world of MMA to life.

What You'll Do

• Create high-quality benchmark content, from hero assets to fully realized arenas and fight spaces
• Build cinematic, physically authentic environments that enhance gameplay and presentation
• Translate concept art and real-world reference into modular, production-ready assets
• Execute high-poly to low-poly workflows with strong optimization awareness
• Craft realistic PBR materials, including authoring your own materials when needed
• Collaborate closely with Art Direction, Lighting, Design, VFX, Tech Art, and Engineering

What You Bring

• 6+ years of experience in Film, entertainment or relevant industries
• Strong proficiency in Maya
• Experience working in modern game engines (Unreal, Frostbite, Unity, or similar)
• Advanced skills in Substance Painter
• Experience with ZBrush and Photoshop
• Understanding of realistic PBR workflows

Nice to Have

• Substance Designer, Houdini, Terrain tools (World Machine), After Effects, scripting knowledge, matte painting/image manipulation experience

Artistic & Creative Strength

• High Quality high poly modelling and materials
• Ability to create believable physical wear, surface breakup, and environmental storytelling
• Exceptional eye for lighting, composition, scale, and material realism
• Strong sense of cinematic presentation and broadcast authenticity

Ownership & Collaboration

• Ability to own and drive features independently with environment and team support when needed
• Proactive communicator with leads and teammates
• Self-organized, capable of tracking tasks and delivering on schedule

Mindset

• Positive, consistent, and adaptable
• Passionate about your craft and pushing visual quality
• Open to feedback and continuous improvement
• Curious, growth-oriented, and proactive in solving challenges

Portfolio

• High-fidelity environment work with strong material execution
• Examples demonstrating ownership from concept to final
• Cinematic composition and believability

Pay Transparency - North America

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria) $91,100 - $126,900 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

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We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organisational values.

You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms.

We're looking for outstanding individuals with deep expertise in multimodal AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate.

The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.

Microsoft's mission is to empower every person and every organisation on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.

Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.

Build automated safety testing systems, generalise safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems.

Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters.

Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.

Embody our culture and values.

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You will work closely with our world-class engineers and researchers, translating complex business challenges into elegant engineering solutions. This is a unique opportunity to lead critical projects, mentor a team of talented senior engineers, and play a key role in shaping the future of mixed reality.

This role is based in our Helsinki office with hybrid work options available. This role is eligible for relocation support.

Key Responsibilities:

• Architect and lead the development of novel mixed reality features by strategically applying real-time machine learning models and techniques.
• Translate high-level business and product problems into concrete technical designs and engineering roadmaps.
• Provide technical guidance, coaching and mentorship to multiple engineers, fostering their growth and multiplying the team's impact.
• Design, develop, and optimize our high-throughput Mixed Reality CPU and GPU processing pipelines.
• Develop robust data pipelines to support the entire lifecycle of ML model development, from data collection to training and fine-tuning.

Our Expectations:

• Proven experience in applying machine learning to real-time image processing or image enhancement.
• Proven experience in at least one of the following domains:

+ Deep expertise in real-time mixed reality pipelines, including working with camera sensors, ISPs, and software-side processing, coupled with a demonstrated ability to learn quickly. + Extensive experience in developing and deploying real-time machine learning systems, with a strong passion for and ability to master new technical domains.

• Demonstrated ability to translate ambiguous business or product requirements into clear technical solutions and architectures.
• Experience in leading technical projects and mentoring senior engineers.
• Ability to deliver high-quality, production-level code; our codebase is primarily C++ with tooling in Python.
• A practical and stepwise approach to tackling complex problems.

What You'll Get:

• Opportunity to take part in creating the new state-of-the-art in virtual and mixed reality experiences.
• A low-hierarchy culture with minimal bureaucracy and maximum opportunity for you to take charge of your work.
• Flexible working conditions, competitive salary, and great benefits.
• The possibility to select the tools and methods you want to use to do your job effectively.
• An international working environment with tons of opportunities to learn and grow with the company.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Infrastructure organisation is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

_Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams._

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

_Deadline to apply: None. Applications will be reviewed on a rolling basis._

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000 - $485,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact work in AI safety and development happens at the intersection of technical expertise and societal responsibility. We're committed to building a team that reflects a wide range of backgrounds, perspectives, and experiences. We believe that diversity in all its forms drives better decision-making, more innovative solutions, and greater impact.

We're an equal opportunities employer and welcome applications from all qualified candidates.

If you're excited about this role and want to learn more, please don't hesitate to reach out to us. We look forward to hearing from you!

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We're a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do.

We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research.

About the Role

We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production.

This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text.

In this role, you will:

• Design and implement inference infrastructure for large-scale multimodal models.

• Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs.

• Enable experimental research workflows to transition into reliable production services.

• Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities.

• Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers.

You might thrive in this role if you:

• Have experience building and scaling inference systems for LLMs or multimodal models.

• Have worked with GPU-based ML workloads and understand the performance dynamics of large models, especially with complex data like images or audio.

• Enjoy experimental, fast-evolving work and collaborating closely with research.

• Are comfortable dealing with systems that span networking, distributed compute, and high-throughput data handling.

• Have familiarity with inference tooling like vLLM, TensorRT-LLM, or custom model parallel systems.

• Own problems end-to-end and are excited to operate in ambiguous, fast-moving spaces.

Nice to Have:

• Experience working with image generation or audio synthesis models in production.

• Exposure to distributed ML training or system-efficient model design.

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.

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Camera ISP Software Engineer, Consumer Devices

Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Consumer Products team at OpenAI builds and ships end-to-end hardware and software experiences that bring frontier AI into the physical world. We work across industrial design, hardware engineering, embedded systems, and AI research to create category-defining consumer devices that feel intuitive, reliable, and deeply integrated with OpenAI’s models.

Within this organisation, the Camera team is responsible for delivering robust, production-ready imaging systems that operate under real-world constraints such as motion, power, latency, and manufacturing variation. Our work spans early silicon and board bring-up through mass production, and directly supports both user-facing experiences and on-device perception for AI-driven features.

We operate as a small, highly technical team with deep ownership, close cross-functional collaboration, and a strong bias toward shipping high-quality products rather than incremental demos.

About the Role

As a Camera ISP Software Engineer, you will own end-to-end ISP bring-up and tuning across prototype and production hardware. You’ll work across software tuning and hardware-accelerated pipelines to deliver stable, high-quality imaging under real-world constraints such as motion, power, and manufacturing variation.

This role is ideal for engineers who thrive in ambiguous early-stage environments, enjoy deep technical ownership, and take pride in shipping production-grade imaging systems.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own end-to-end ISP tuning and bring-up, from early prototypes through production hardware.

• Tune core 3A and image-quality blocks including AE, AWB, AF, noise reduction (spatial and temporal), sharpening, tone mapping, color correction, HDR/WDR, flicker mitigation, lens shading, defect pixel correction, and related ISP stages.

• Build repeatable capture and evaluation workflows, combining controlled lab sweeps with real-world validation.

• Validate robustness across sensor, module, and manufacturing variation with clear, defensible success criteria.

• Deliver production-grade tuning artifacts, including versioned tuning packs, parameter manifests, change logs, and curated RAW and processed datasets with supporting documentation.

• Partner closely with camera firmware, systems, and hardware teams to debug pipelines, configure sensors, and resolve board-level and silicon-level issues as designs evolve.

You might thrive in this role if you:

• Deep experience shipping ISP tuning for embedded or mobile camera products, from bring-up through production.

• Strong fundamentals across 3A (AE/AWB/AF), noise modeling, sharpening and detail trade-offs, tone mapping, and color pipelines.

• Proven ability to run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts.

• Hands-on experience debugging end-to-end camera pipelines on real hardware, including RAW capture, processed outputs, and hardware-accelerated paths.

• Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans.

Preferred Qualifications

• Experience with common mobile or embedded SoC camera stacks and vendor frameworks.

• Experience tuning imaging pipelines explicitly for downstream machine-learning consumers, with iteration driven by model feedback.

• Experience designing motion-aware temporal imaging strategies that remain stable under rapid device or scene motion.

Experience Level

Mid

Employment Type

Full time

Workplace Type

Hybrid

Category

Engineering

Industry

Technology

Salary Range

$293K – $325K

Required Skills

• Camera ISP tuning
• Embedded systems
• AI research
• Industrial design
• Hardware engineering
• Machine learning
• Image processing
• Computer vision

Preferred Skills

• Mobile or embedded SoC camera stacks
• Vendor frameworks
• Imaging pipelines
• Motion-aware temporal imaging strategies
• Downstream machine-learning consumers
• Model feedback
• System-level constraints
• Power
• Latency
• Motion
• Reliability

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.

About the Team:

We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch.

About the Role:

We’re seeking a Systems Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems.

In this role, you will:

• Design, implement, and debug system‑level components and services across kernel and user space.

• Configure and maintain OS platform services (init, services, networking, security policies) and related tooling.

• Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety.

• Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage.

• Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics.

• Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features.

• Establish strong engineering practices: code review, CI, reproducible builds, and release management.

• Partner with external suppliers to support builds and deployments.

You might thrive in this role if you:

• Have shipped production systems software on modern operating systems.

• Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management).

• Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries.

• Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs.

• Are fluent in user‑space foundations (service management, IPC, networking, packaging, automation).

• Have experience building platform images and designing update mechanisms for reliability and security.

Preferred Qualifications:

• Exposure to platform security (secure boot, sandboxing, mandatory access controls, attestation).

• Experience with graphics/media, hardware acceleration, or high‑throughput data paths.

• Familiarity with connectivity stacks and network configuration.

• Observability and diagnostics in distributed or resource‑constrained environments.

• Work on open‑source platforms or contributions to systems projects.

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.

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Microsoft are looking for a talented Member of Technical Staff - Software Engineer (SuperIntelligence team) at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Accountabilities

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.

The Candidate we're looking for

Experience:

• Strong software engineering fundamentals building large-scale, production systems.

Technical skills:

• Python used as a primary language in production systems.
• Kubernetes + containers: deploying, operating, and supporting production workloads.

Personal attributes:

• Hands-on ownership of production infrastructure (not just usage).

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Multimodal Infrastructure. The successful candidate will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. They will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get their work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements.

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.

Accountabilities

• Design, develop and maintain large-scale multimodal data processing pipelines.
• Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

As a Member of Technical Staff, Multimodal Infrastructure, you will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values.

Accountabilities

• Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.
• Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proven expertise in multimodal LLM safety with experience in diffusion models and generative image/video/audio.

Personal attributes:

• Track record building evaluation frameworks, automated red-teaming, and reusable guardrail systems for safety at scale.

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

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Microsoft are looking for a talented Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values.

Accountabilities

• Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.
• Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proven expertise in multimodal LLM safety with experience in diffusion models and generative image/video/audio.

Personal attributes:

• Track record building evaluation frameworks, automated red-teaming, and reusable guardrail systems for safety at scale.

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

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What you'll do

Contributing as a core member of the capability development team, designing, developing, testing, and documenting new features for the STK software platform.

• Contributing as a core member of the capability development team, designing, developing, testing, and documenting new features for the STK software platform.
• Investigating and resolving complex technical issues discovered by QA or product support, ensuring a robust and reliable user experience.
• Championing and implementing best practices in commercial software development, with a focus on maintainability, scalability, and performance.
• Working to reduce the backlog of existing bugs and driving architecture improvements for long-term product evolution.
• Collaborating closely with multidisciplinary teams, including PhD-level experts in aerospace, imaging, radar, and related fields, to deliver innovative solutions.

What you need

• Bachelor’s degree in Computer Science, Engineering, or a related field with 2 years' experience or Master’s degree.
• Strong proficiency in C++ and experience with Visual Studio development environments.
• Solid understanding of computer graphics, physics (with an emphasis on radiometry), and mathematical modeling.
• Experience with the commercial software development lifecycle, including design, implementation, testing, and documentation.
• Familiarity with imaging systems, optics, detectors, electronics, and image processing techniques.
• Simulation experience, particularly in aerospace and defense applications, is highly desirable.

Why this matters

• Enhancing the capabilities and reliability of STK, a mission-critical tool used by thousands of organizations worldwide in aerospace, defense, and research.
• Enabling customers to solve complex challenges such as communication link analysis, mission planning, and celestial navigation.
• Accelerating the development of new features that expand the range of STK’s applications, from Earth observation to deep space missions.
• Improving the user experience and confidence in STK through timely resolution of issues and proactive product improvements.
• Contributing to a culture of technical excellence, innovation, and knowledge sharing within the team and across the organization.
• Empowering future advancements in simulation and modeling that drive the next generation of aerospace and defense technologies.

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What you'll do

This role focuses on the design and development of screen recording and streaming functionalities on Windows platforms, utilizing advanced audio/video encoding/decoding technologies and hardware accelerators. The ideal candidate will work on real-time, low-latency, and high-quality media processing, collaborating across teams to optimize video/audio streaming and debugging related issues.

• Design and develop screen recording and streaming functionalities on Windows platforms.
• Implement and optimize video encoding and decoding pipelines using hardware encoders such as NVENC, AMD AMF, and Intel QuickSync.

What you need

• Bachelor’s degree in computer science, software engineering, or a related field.
• Proficiency in video encoding/decoding and familiarity with hardware accelerators (e.g., NVENC, AMD AMF, Intel QuickSync).

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What you'll do

Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification. Design and architect computer vision systems to meet specific requirements and objectives.

What you need

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.

XML job scraping automation by YubHub

What you'll do

This role focuses on the design and development of screen recording and streaming functionalities on Windows platforms, utilizing advanced audio/video encoding/decoding technologies and hardware accelerators.

• Design and develop screen recording and streaming functionalities on Windows platforms.
• Implement and optimize video encoding and decoding pipelines using hardware encoders such as NVENC, AMD AMF, and Intel QuickSync.

What you need

• Proficiency in video encoding/decoding and familiarity with hardware accelerators (e.g., NVENC, AMD AMF, Intel QuickSync).

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What you'll do

• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Design and architect computer vision systems to meet specific requirements and objectives.

What you need

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
• Proven experience in developing and implementing computer vision algorithms and models.
• Proficiency in programming languages such as Python or C++.
• Strong understanding of image and video processing techniques and methodologies.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with data collection, annotation, and preparation for model training.
• Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
• Experience integrating computer vision solutions into software systems or products.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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