Software development engineer jobs in Castro Valley, CA - 11,215 jobs

We, Alibaba Overseas Engineering & TPM team, are seeking for a highly skilled and experienced Construction Quality Assurance Expert/On-site Testing & Commissioning Supervisor to join our dynamic and innovative team. Our team is dedicated to the design, construction, testing & commissioning and optimization of public cloud infrastructure and facilities. This multidisciplinary group combines expertise in electrical, mechanical and civil engineering, construction progress management, construction quality management to ensure delivery of high-performance environments that support critical IT equipment needs. In this role, you will be responsible for ensuring the successful testing and commissioning of our electrical and mechanical facilities, with a focus on spending at least 30% of your working time on construction sites. You will be accountable for the following key responsibilities, 1. Site Supervision and Coordination 2. Facility Testing and Commissioning 3. Documentation and Reporting 4. Compliance and Quality Assurance 5. Escalation and Stakeholder Engagement Minimum qualification: - A minimum of 5 years of proven experience in facility testing and commissioning, with a strong track record of successful construction project delivery. - Excellent communication and stakeholder management skills, with the ability to present technical information to both technical and non-technical audiences. - Proficiency in developing and executing comprehensive testing and commissioning plans, as well as interpreting and documenting test results. - Bachelor's degree in Engineering (Electrical, Mechanical or a related field) Preferred qualification: - Extensive knowledge of electrical and mechanical infrastructure, including but not limited to power, cooling, ventilation, fire-fighting, plumbing, drainage and monitoring. - Excellent problem-solving and analytical skills, with the ability to identify and resolve complex technical issues. - Strong project management and coordination skills, with the ability to work effectively with cross-functional teams. - Master's degree in Engineering (Electrical, Mechanical or a related field) - Professional engineer (PE) is preferred. The pay range for this position at commencement of employment is expected to be between $133,200 and $219,600/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

About Air Apps At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management-and change lives along the way. The Role As a QA Engineer at Air Apps, you will be responsible for ensuring the quality, functionality, and usability of our applications through manual and functional testing. You will work closely with developers, product managers, and designers to identify issues early, improve test coverage, and deliver a seamless user experience. Your role will be essential in detecting bugs, verifying feature implementations, and validating software stability before deployment. Responsibilities Perform manual testing on web and mobile applications to ensure a seamless user experience. Conduct functional, regression, usability, and exploratory testing across multiple platforms. Develop and execute detailed test plans, test cases, and test scripts. Document and report bugs, working closely with developers to resolve issues. Ensure feature compliance by validating product requirements against test results. Identify edge cases, inconsistencies, and performance issues. Work with cross-functional teams to improve software quality throughout the development lifecycle. Provide clear and structured feedback to enhance product functionality and user experience. Maintain test documentation and contribute to quality assurance best practices. Requirements Around 3+ years of experience in manual and functional testing. Strong understanding of QA methodologies, testing types, and best practices. Experience with test case management tools (e.g., TestRail, Zephyr, Xray). Familiarity with bug tracking systems (e.g., Jira, Trello, Bugzilla). Experience testing web and mobile applications (iOS & Android). Strong attention to detail and ability to identify complex usability issues. Knowledge of API testing (e.g., Postman) is a plus. Ability to work in an agile development environment and adapt to changing priorities. Strong communication and collaboration skills. What benefits are we offering? Apple hardware ecosystem for work. Annual Bonus. Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Conference - an opportunity to meet the team, collaborate, and grow together. Transportation budget Free meals at the hub Gym membership Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. #J-18808-Ljbffr

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a QA Engineer, Scientific Software to build the test, validation, and monitoring infrastructure that guarantees the correctness and reliability of the Mithrl AI Co-Scientist. This role requires a PhD-level scientist or computational biologist who understands the drug development lifecycle and who has hands‑on experience with omics data. Without this scientific foundation, it is not possible to evaluate whether Mithrl's outputs are biologically meaningful. You will create automated tests for analysis workflows, ingestion pipelines, and discovery applications. You will build CI systems that catch regressions early, set up monitoring and alerting for system behavior, and ensure that every module in Mithrl produces scientifically valid and reproducible outputs. This role bridges scientific understanding with software quality engineering and is critical for maintaining trust in Mithrl's analysis engine. If you are a scientist with a passion for product reliability, reproducibility, and validation of ML powered scientific tools, this is a uniquely impactful position. WHAT YOU WILL DO Build automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product features Develop scientific validation frameworks that check correctness and reproducibility of ML driven biological analyses Establish CI workflows that run end to end tests on every commit and catch scientific and computational regressions Build monitoring and alerting systems that track the health, performance, and scientific integrity of product modules Design automated checks for omics workflows Validate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical development Work closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releases Maintain documentation, data fixtures, and gold standard datasets for regression testing Support the development of QA processes that scale with rapid product growth and new analysis capabilities Build a culture of scientific correctness and software reliability throughout the engineering and product teams WHAT YOU BRING Required Qualifications PhD in biology, computational biology, bioinformatics, systems biology, or a related discovery field Deep understanding of the drug discovery and preclinical development lifecycle Hands‑on experience working with omics data such as transcriptomics, RNA‑seq, proteomics, ATAC‑seq, single cell datasets, or imaging‑derived features Ability to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledge Familiarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importance Experience with Python or similar languages and comfort with scientific computing workflows Strong interest in software quality, reproducibility, and validation of ML driven scientific systems Excellent communication skills and ability to partner with engineers and scientists Nice to Have Experience building automated tests or QA frameworks for scientific or ML systems Experience with workflow engines, scientific pipelines, or reproducibility tools Familiarity with CI tools and modern software development practices Experience validating outputs of AI powered analysis tools Previous work in a tech bio company or computational platform environment WHAT YOU WILL LOVE AT MITHRL High ownership: You will be the guardian of scientific correctness and reliability inside the AI Co-Scientist Impact: You will work with cutting edge ML, multi modal data, and real discovery workflows Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. #J-18808-Ljbffr

A forward-thinking robotics company based in San Francisco is seeking a Simulation and Test Engineer to develop and maintain scalable testing infrastructure for their conversational AI systems. The ideal candidate will have a strong background in AI/ML testing, proficiency in Python, and experience with simulation platforms. The role offers a competitive salary range of $150,000 - $250,000 USD based on skills and experience, in a dynamic environment focused on innovation and diversity. #J-18808-Ljbffr

About Us Andromeda Robotics is an ambitious social robotics company with offices in Melbourne and San Francisco, dedicated to creating robots that seamlessly and intelligently interact with the human world. Our first robot, Abi, is a testament to this vision-a custom-built platform designed from the ground up to be a helpful aid and intuitive partner in aged care homes. We are a passionate, collaborative team of engineers who solve some of the most challenging problems in AI and robotics. To accelerate our development and ensure Abi's reliability, we are seeking a foundational member to build out our capabilities to train and test our robot in simulation. Our Values Deeply empathetic - Kindness and compassion are at the heart of everything we do. Purposely playful - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Relentlessly striving - With relentless ambition, an action bias and constant curiosity, we don't settle. Strong when it counts - Tenacious under pressure, we expect problems and stay in motion to adapt and progress. United in action - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. The Team You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack. Phase 1: Build The Test Foundation Define and stand up synthetic test environments for our AI/ML conversational stack Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy Memory system testing: context retention, recall accuracy, conversation coherence Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection Perception system testing: social awareness (face detection, gaze tracking, person tracking) Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures CI/CD and automated regression testing for all AI/ML subsystems Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics Requirements formalisation: you're skilled at gathering, documenting, and tracing requirements back to test cases Phase 2: Scale To ML Training Infrastructure Our approach to gesture generation requires high-fidelity synthetic interaction data at scale. You'll investigate and build the infrastructure to generate this data, working closely with our character software team to define requirements and validate approaches. Extend test environments into training data generation pipelines Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios Enable ML-generated gesture development to augment hand-crafted animation workflows Create virtual environments with diverse social interaction scenarios for training and evaluation Success In This Role Looks Like Months 1-3, stabilise our conversational system with automated regression tests and measurable quality benchmarks. By month 6, deliver an integrated simulation environment enabling rapid testing and iteration across our AI/ML stack. You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe. Key Responsibilities Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilitiesli> Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic training data for character animation and gesture models Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams Ideally You Have Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI) Strong programming proficiency in Python (essential); C++ experience valuable Hands‑on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks Understanding of audio processing, speech recognition, and/or computer vision fundamentals Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.) Familiarity with ML evaluation metrics and experimental design A proactive, first‑principles thinker who is excited by the prospect of owning a critical system at an early‑stage startup Bonus Points Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines Experience with character animation systems, motion capture data, or gesture generation Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models Experience with 3D modelling tools and game engine content creation Understanding of ROS2 for robotics integration Knowledge of sensor modelling techniques for cameras and audio Experience building and managing large-scale, cloud-based simulation infrastructure PhD in a relevant field The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job‑related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you're excited about this role but don't meet every requirement, that's okay-we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let's build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Wanna join the adventure? As a Test Engineer at Loft Orbital, you will contribute to the design execution, and improvement of test processes that ensure the reliability and performance of Loft's space hardware. You'll work hands‑on with a range of systems-from subsystems to full spacecraft-supporting environmental, functional, and automated campaigns. You will collaborate closely with design, manufacturing, and software teams to develop test plans, execute procedures, and analyze results to ensure our satellites and components meet mission requirements. This role offers the opportunity to deepen your technical expertise in testing complex aerospace hardware while working in a fast‑paced and collaborative environment. About the Role Support the design, development, and execution of test procedures, setups, and instrumentation for spacecraft and subsystem‑level testing. Participate in the development and implementation of automated and manual test equipment, fixtures, and/or ground support equipment (GSE). Execute and document environmental and functional tests, including vibration, thermal, thermal vacuum (TVAC), and EMI. Collect, analyze, and interpret test data; generate reports and document results, flags, and non‑conformances. Collaborate cross‑functionally to ensure tests align with mission requirements, schedules, and quality standards. Contribute to process improvement initiatives for test documentation, configuration control, and data management. Must Haves Bachelor's degree in Electrical, Mechanical, Aerospace, or Systems Engineering, or equivalent experience. 3-7 years of experience in aerospace or related hardware testing. Working knowledge of test methods and environmental test standards (e.g., GEVS, MIL‑STD). Ability to interpret engineering drawings, schematics, and test specifications. Familiarity with data acquisition systems, instrumentation, and control systems. Experience with scripting or automation tools (e.g., Python, MATLAB, LabVIEW). Strong problem‑solving skills and attention to detail. Comfortable working hands‑on with hardware and in test lab environments. Nice to Haves Experience with Electrical Ground Support Equipment (EGSE). Exposure to requirements verification and validation processes. Experience supporting satellite or aerospace test campaigns, including environmental testing. Familiarity with data management tools or configuration control systems. Willingness to support off‑hours or weekend testing when required. Benefits 100% company‑paid medical, dental, and vision insurance option for employees and dependents. Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA. 100% employer‑paid Life, AD&D, Short‑Term, and Long‑Term Disability insurance. Flexible Time Off policy for vacation and sick leave, and 12 paid holidays. 401(k) plan and equity options. Daily catered lunches and snacks in office. International exposure to our team in France. Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non‑birthing parent. Carrot Fertility provides comprehensive, inclusive fertility healthcare and family‑forming benefits with financial support. Off‑sites and many social events and celebrations. Relocation assistance when applicable. Salary: $100,000 - $135,000 a year. * Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end‑to‑end missions as a service across Earth observation, IoT connectivity, in‑orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years‑long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close‑knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team‑oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on‑orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #J-18808-Ljbffr

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. What You'll Do Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. Monitor and optimize system performance, ensuring high availability and minimal downtime. Develop automation tools and scripts to streamline operations and improve system reliability. Troubleshoot complex issues across distributed systems, networks, and storage solutions. Collaborate with AI researchers and engineers to support compute-intensive workloads. Implement security best practices to protect sensitive data and infrastructure. Contribute to capacity planning and disaster recovery strategies. Participate in an on-call rotation to ensure 24/7 system reliability. Ideal Experiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of experience in site reliability engineering, DevOps, or systems engineering. Proficiency in Linux system administration and scripting (e.g., Python, Bash). Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of networking, distributed systems, and storage technologies. Familiarity with HPC environments, GPU clusters, or large-scale data processing. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication skills and a collaborative mindset. Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). Location This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Tech Stack Languages: Rust, Python, C++, Golang Interview Process Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. Main Interview Process 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. Project Deep-Dive: Present your past exceptional work to a small audience. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice #J-18808-Ljbffr

Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass‑manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world's fastest‑evolving digital threats. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. What We're Building We're building the AI‑native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We're looking for an experienced full‑stack engineer to help build out our new Simulation product. We only just recently launched it but market traction is growing extremely fast and we need people excited to jump and do whatever it takes to build what our customers desperately want. For example: Build out a “Cursor for phishing simulation” flow that lets users create simulations using natural language. Build out voice deepfakes that use AI to call employees pretending to be their co‑worker. Here are some additional resources on what we built and why. What We Offer 🚀 A mission‑driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density 🍽️ Free lunch and dinner in the office 🌴 Flexible PTO ✈️ Quarterly team offsites Join Doppel Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We're not just another cybersecurity company. We're defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. #J-18808-Ljbffr

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

About Us: Parabola is a workflow builder that makes it easy to organize and transform messy data from anywhere-even PDFs, emails, and spreadsheets-so that forward-thinking teams can automate the work they thought would always be manual. Teams at fast-moving companies like Brooklinen, On Running, and Flexport use Parabola to save hundreds of hours and finally take on the projects that used to feel out of reach. Whether it's reconciling inventory across multiple 3PLs, auditing invoices, or manually exporting the same report every Monday, Parabola gives teams the power to automate it-all without needing engineering support. Parabola is backed by OpenView Partners, Matrix Partners, Thrive Capital and more. About the role: As a Senior Site Reliability Engineer on our rapidly growing team, you'll measure how well our software is working, and from that baseline propel us towards high impact improvements that our customers value. Given our small team, your work might span performance, developer experience, security & compliance, and foundational architecture work. You'll also be on‑call and will improve our technical operations, learning as we go. What you'll be doing: Monitoring our core business‑logic software, both via on‑call and in non‑urgent situations: describing its existing behavior and defining SLOs or SLAs that get us (you and we) to respond. Extending and monitoring our infrastructure stack. Because we are B2B, we have fewer raw users, but their usage is often business‑critical and we need the infrastructure for that. Maintaining both a mental and a reified model of our systems: from this model, estimating risk, planning projects, and debugging efficiently. Collaborating with our engineering team and company leadership from your unique lens on site reliability - being vocal and clear in your expertise in this specialization. Working on our core orchestration logic that determines how to efficiently run tens of thousands of workflows at the same time - we recently rebuilt our orchestrator on top of Temporal and we love it! Advising many parallel major backend engineering projects, both early in planning and through release. Join such projects for building from time‑to‑time. Optimizing our services for scalability, stability, and observability as our customer base grows and our product becomes more sophisticated. Improving our developer experience in tactical ways, and improving our overall engineering processes and practices more broadly, especially given the opportunities & pressures of LLM coding agents. What (we think) you'll need to do it: 5+ years of SRE, DevOps, or Platform engineering experience A proven record of building efficient, performant, and easy to extend systems. Has maintained quantitative metrics of site reliability, while also demonstrating judgment about appropriate strictness for SLOs & SLAs. Given our team size, the expectations are somewhat less formal and mature than many SRE teams have; you will both strengthen our approach, but also navigate tradeoffs. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and how they interact with backend services, and with Linux. Experience implementing and managing AWS infrastructure. You're not afraid to ask for help, and you're happy to give it, too. You're an enthusiastic communicator and you like working with a team that provides both mutual support and thoughtful critique. You're excited to join a hybrid team and work out of our NYC or SF office ~3 days a week. Nice to haves: Experience with Temporal. Experience building AI platforms, or the tooling and systems behind AI products. Familiarity with Kubernetes/Helm (we use Amazon EKS). Experience implementing and deploying infrastructure‑as‑a‑service (IaaS) tools to manage production cloud environments. Experience managing CI/CD pipeline for multiple environments, and developer experience more broadly. Experience building cloud storage or data modeling products. Experience working at early stage startups. Salary Range: $180,000 - $200,000 This salary range represents the minimum and maximum for this role based in San Francisco and New York. The salary given for this position is dependent on multiple factors, including years of experience, interview performance and anticipated responsibilities of the role. Our base salary is one component of Parabola's competitive total package, which also includes equity and premium health and wellness benefits. #J-18808-Ljbffr

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can't see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Software Engineer, Platform Infrastructure sits under the umbrella of Product and Engineering and plays a pivotal role in ensuring our developers have the tools, infrastructure, and systems to provide our customers with reliable, secure, and scalable software. Roles & Responsibilities: Be part of the Cloud Platform SRE Team, focused on building our Cloud Platform using modern tools and best practices. Champion SRE best practices within the team and throughout the organization Solve the whole problem. Architecture for resiliency, identify risks, and make it happen. Ability to use a wide variety of open source technologies and tools Understanding of Continuous Integration & Continuous Delivery in the software engineering process and can clearly articulate how a Software Engineer, Platform Infrastructure facilitates these practices in collaboration with the Development, Quality Assurance and Technical Operations teams to drive business goals Ability to demonstrate a clear, energetic and excited interest in automating everything (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code Preference for collaboration, open communication and reaching across functional borders Thorough understanding of backup/recovery systems, development automation routines, storage area networks and virtualization Be on an on-call rotation to respond to incidents that impact Ironclad's availability, and provide support with internal or customer-facing incidents Develop an understanding of the near, mid, and long-term needs of the business - and understand how the Platform SRE contributes to its success Influence architectural decisions with a focus on security, scalability, and high performance Be a mentor, multiply our team's output with leadership and guidance Key Skills: 8+ years of professional DevOps / SRE experience. 5+ years of coding (Python, Golang, TypeScript Shell Scripting, Rust, etc), scaling, and architecture work. Experience with Typescript is a plus. Expert knowledge of Docker and Kubernetes Experience with Google Cloud Platform (or similar provider) Experience with Build and Deployment tools such as Terraform, CircleCI, ArgoCD Experience with multi-region support is a plus Experience with ELK Stack, MongoDB, Postgres Strong technical aptitude and exceptional communication skills (written and verbal) Ability to appropriately prioritize and respond to different escalations Troubleshooting and analytical skills, drive to help customers, and the ability to dive deep and learn a new product. Experience and desire to work cross-functionally Team and goal-oriented. High output; low ego Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

A leading software company in San Francisco seeks a QA Automation Engineer to design and maintain automated test frameworks. The ideal candidate has over 3 years of experience in test automation and strong programming skills. You will collaborate closely with developers and QA teams to ensure our apps meet high-quality standards. This role offers a chance to work in a dynamic environment with a focus on performance, reliability, and efficiency. #J-18808-Ljbffr

A tech bio company in San Francisco is seeking a QA Engineer, Scientific Software to ensure the integrity of their AI Co-Scientist. This role requires a PhD-level candidate with experience in drug development and omics data. You will create automated tests, develop validation frameworks, and work closely with engineers to ensure scientific accuracy. This impactful position combines scientific understanding with software quality engineering, contributing to breakthroughs in biotechnology. Comprehensive health benefits and a vibrant office culture in SF are part of the offer. #J-18808-Ljbffr

The Bigger Picture At Andromeda Robotics, we're not just imagining the future of human-robot relationships; we're building it. Abi is the first emotionally intelligent humanoid companion robot, designed to bring care, conversation, and joy to the people who need it most. Backed by tier-1 investors and with customers already deploying Abi across aged care and healthcare, we're scaling fast, and we're doing it with an engineering-first culture that's obsessed with pushing the limits of what's possible. This is a rare moment to join: we're post-technical validation, pre-ubiquity, and building out the team that will take Abi from early access to global scale. Our Values Empathy - Kindness and compassion are at the heart of everything we do. Play - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Never Settle - A relentless ambition, bias toward action, and uncomfortable levels of curiosity. Tenacity - Tenacious under pressure, we assume chaos and stay in motion to adapt and progress. Unity - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. The Team You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack. Phase 1: Build The Test Foundation Define and stand up synthetic test environments for our AI/ML conversational stack Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy Memory system testing: context retention, recall accuracy, conversation coherence Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection Perception system testing: social awareness (face detection, gaze tracking, person tracking) Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures CI/CD and automated regression testing for all AI/ML subsystems Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics Requirements formalisation: you're skilled at gathering, documenting, and tracing requirements back to test cases Phase 2: Scale To ML Training Infrastructure Our approach to gesture generation requires high-fidelity synthetic interaction data at scale. You'll investigate and build the infrastructure to generate this data, working closely with our character software team to define requirements and validate approaches. Extend test environments into training data generation pipelines Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios Enable ML-generated gesture development to augment hand-crafted animation workflows Create virtual environments with diverse social interaction scenarios for training and evaluation Success In This Role Looks Like Months 1-3, stabilise our conversational system with automated regression tests and measurable quality benchmarks. By month 6, deliver an integrated simulation environment enabling rapid testing and iteration across our AI/ML stack. You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe. Key Responsibilities Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment Develop Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic data for character animation and gesture models Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams Ideally You Have Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI) Strong programming proficiency in Python (essential); C++ experience valuable Hands‑on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks Understanding of audio processing, speech recognition, and/or computer vision fundamentals Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.) Familiarity with ML evaluation metrics and experimental design A proactive, first‑principles thinker who is excited by the prospect of owning a critical system at an early‑stage startup Bonus Points Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines Experience with character animation systems, motion capture data, or gesture generation Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models Experience with 3D modelling tools and game engine content creation Understanding of ROS2 for robotics integration Knowledge of sensor modelling techniques for cameras and audio Experience building and managing large‑scale, cloud‑based simulation infrastructure PhD in a relevant field The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job‑related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you're excited about this role but don't meet every requirement, that's okay-we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let's build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please note: At this time, we are generally not offering visa sponsorship for this role. #J-18808-Ljbffr

San Diego, California, United States Software and Services Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Apple is looking for a talented and energetic software engineer for the Core Networking team to lead and participate in the architecture and development of next generation networking technologies. The team is responsible for designing and enhancing the operating system networking components across Apple's range of products including all iOS, mac OS, watch OS, tv OS and vision OS based products.In this role, you will design and develop innovative systems firmware to enable TCP/IP Networking on a co-processor so that Networking connectivity is provided in a very power and thermal efficient manner. This capability forms the bedrock of Apple's next generation of technologies and allows Apple to provide new user experiences and refresh its device roadmap. You will be a mentor to the junior members of the team and will have the opportunity to lead cross-functional design. The ideal candidate should possess an excellent conceptual understanding and working knowledge of TCP/IP and related networking technologies, excellent system level architectural thinking along with low-level firmware programming skills, excellent communication and leadership skills, and the ability to work in a fast-paced environment. Description The candidate needs to be able to work in a fast paced environment, operate gracefully under stress, balance multiple assignments in parallel, and be self driven to be effective in an environment with little overhead. The candidate also needs to show initiative, be able to take ownership of a problem area, and demonstrate an ability to understand the role of the group's technology in the larger context of the product and network environment. The position has cross- functional aspects and the candidate will need to show excellent interpersonal and communication skills. Minimum Qualifications BS in Computer Science, Electrical Engineering or equivalent networking software development experience At least 5+ years of real time embedded software (firmware) development experience (design and implementation) Proficiency in C or C++ on resource-constrained embedded platforms Preferred Qualifications Experience with Embedded Operating Systems or Micro Kernels (Embedded Linux, QNX, VxWorks, L4 etc.) Experience with Networking stack implementations (BSD, Linux/ Android, Solaris, lw IP, sevenstax, mbed TLS etc.) Familiarity with link-layer technologies (Ethernet, Wi‑Fi, Cellular etc.) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Wanna join the adventure? Loft Orbital's mission is to make space simple for organizations that need to collect information about the Earth. We provide space infrastructure as a service where multiple customer payloads are flown on a single spacecraft platform through Loft's in-house Payload Accommodation Module. The Embedded Test Engineer will be responsible for establishing and maintaining a robust, reliable test pipeline embedded software within the Hardware group. You will work with Loft Orbital's engineering, software, and integration teams to verify the performance of internal avionics hardware, firmware and software to improve design iteration and continuous integration efforts. You will help to define the processes and standards for version control and work closely with the engineering teams to ensure flight readiness for orbit. You will be a critical part of ensuring we are delivering the right high quality hardware products to both internal teams as well as our external customers. About this Role Work with the Loft development team to test, validate and verify internally developed products, and ensure successful delivery of final flight products to missions Software and firmware test development and automation at unit and sub-system level for flight systems (avionics, communication and power distribution) Ownership of the test procedures and execution of product testing using Loft's in-house software tools Execute roadmaps of next generation products and provide testing flows, including activities to prepare for verification and qualification of product development efforts Support scaling up test infrastructure towards productization Define and implement functional testing and regression testing for embedded systems to support Hardware in the Loop (HIL) and assembly/integration teams Must Haves 5+ years in software/firmware testing and SW/HW integration, a plus if in aerospace Bachelor's Degree in software engineering, computer science, electrical engineering or equivalent Recent Python experience automating tasks/test frameworks and interacting with shell environments Strong familiarity with Linux and scripting tools/languages Testing and troubleshooting experience with digital, analog and high-speed interfaces, including various communication protocols (CAN, UART, SPI, I2C, ETH, SpaceWire, etc.) Hands on experience with deploying embedded software to hardware at medium to large scales (>100 units/year) Have experience creating detailed Test Procedures for development and software Entrepreneurial, need to be able to find and manage own work Experience with one or more continuous integration tools (Gitlab Preferred Nice to Haves Experience testing high speed interfaces like Ethernet, Spacewire, Cameralink, PCIe Understanding of how to create, configure, and manage Docker containers Recent experience setting up Gitlab CI/CD pipelines Experience with Vivado or other FPGA design/build systems and their test tools Experience with Yocto Ptest or testing and deploying Yocto distributions Comfortable interacting with remote test equipment and troubleshooting issues Some of Our Awesome Benefits 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable $125,000 - $175,000 a year State law requires us to tell you the base compensation range for this role, which is $125,000 - $175,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. Can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. * Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, in-orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #J-18808-Ljbffr

The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We\'re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. Qualifications Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr