Principal software engineer jobs in Sunnyvale, CA - 13,788 jobs

A leading technology company is looking for a Senior Software Development Engineer in Test in Santa Clara, CA. The candidate will develop test plans, enhance automation features, and work collaboratively in a dynamic environment. Required qualifications include a BS/MS in Engineering and over 5 years of experience in software testing and development. Candidates should possess strong skills in Linux, Python, and C++. The position offers a competitive salary range of $136,000 - $264,500 based on experience, plus equity options. #J-18808-Ljbffr

Mainspring Energy is revolutionizing power generation with the world's most flexible and adaptable local power generation technology, the Mainspring Linear Generator. Commercial, industrial, and utility leaders are choosing Mainspring over traditional options like engines, turbines, and fuel cells to quickly and reliably deliver local power for EV charging, commercial facilities, data centers, and grid-scale operations. The Mainspring Linear Generator is fuel flexible, ramps up and down to meet demand, and utilizes a flameless reaction with near-zero NOx emissions. Backed by top-tier investors including Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst Mainspring designs, manufactures and delivers its products to customers across the U.S. today, and we're quickly scaling for international expansion. Inspired by our vision of the affordable, reliable, net-zero carbon grid, Mainspring is rapidly expanding within the $816B global electricity equipment market, and we're hiring the best talent to meet growing customer demand around the globe. We welcome a broad range of backgrounds, experiences, and talents to bring fresh perspectives and ongoing innovation to our customers. We are looking to build relationships with people who share our values: Pragmatic Optimism. Building a new category of world-class power generation requires the optimism of ambition and creativity, balanced with practicality to solve problems efficiently. The challenges that arise are opportunities for growth. Excellence without Ego. We bring expertise and commitment to creating the best customer experience, from sales to deployment and service, just as we apply deep technical rigor to building and delivering world-class products. We strive for excellence and behave as leaders with the humility to acknowledge our challenges, both collectively and as individual contributors. Proactive Collaboration. The integration and cross-disciplinary nature of Mainspring's business requires intentionally seeking out others who bring different skills, perspectives, and priorities. Our culture of inclusion and respect extends beyond our team to interactions with our partners and customers. More information can be found at ************************ The Linear Generator is a next-generation energy system where the control layer must seamlessly integrate and manage multiple interdependent physical domains. Your technical leadership will be crucial for the modeling, simulation, and control of its dynamics, which encompass mechanical, electrical, fluid, thermal, and thermodynamic processes. In this role, you will manage and mentor a team of engineers responsible for the machine's behavior and performance. You will drive a technical strategy that prioritizes model-based design and high-fidelity simulation, ensuring robust performance before algorithms reach hardware. Responsibilities Team Leadership: Manage, mentor, and grow a team of world class engineers across domains from dynamics and automation to power and reaction control. Technical Strategy: Drive a “simulation-first” development culture. Oversee the creation of plant models and control strategies, ensuring designs are validated in simulation (MIL/SIL) prior to software implementation. Architecture & Oversight: Provide technical guidance on control architectures, ensuring the mathematical models and control logic are sound, robust, and well-specified. Cross-Functional Alignment: Collaborate with Product and Program Management to roadmap features. You will assess technical feasibility and ensure the team delivers validated specifications that meet product requirements. Process Excellence: Establish workflows for algorithm development, including design reviews, requirements traceability, and validation plans. Reliability & Diagnostics: Oversee the development of diagnostics and fail-safes to ensure the generator operates autonomously and safely in the field. Qualifications Leadership: Multiple years of experience leading and growing high-performance engineering teams. Technical Depth: Strong background in control theory (linear and nonlinear), system dynamics, and signal processing. Comfortable reviewing block diagrams, simulation results, and technical specifications. Simulation Expertise: Demonstrated experience with Model-Based Design (MBD) workflows and simulation tools (MATLAB/Simulink, Python, etc.). Systems Mindset: Ability to understand complex interactions in electromechanical machines involving sensors, actuators, and thermal/fluid dynamics. Education: BS or MS in mechanical, electrical, or systems engineering (or equivalent experience). $212,000 - $250,000 a year This position is onsite at our Menlo Park HQ. The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits. Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don't meet all posted requirements for a particular role, we'd still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background. In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge. #J-18808-Ljbffr

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The Research & Development Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Compensation strategy is broken down into 3 pillars -compensation bands,planning workflows, andtotal rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Learn more about our engineering principles here! Core Platform @ Pave The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise‑grade software with speed and confidence. In this role, you'll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave's compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization. What You'll Bring 5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js Strong product intuition with the ability to design generalized platform solutions that solve cross‑product challenges Hands‑on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus Experience leading large technical projects with high ambiguity and numerous stakeholders Execution‑driven mindset: You thrive in fast‑paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind Our stack includes: TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP Compensation, It's What We Do. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P2: $141,100 - $190,900 P3: $166,600 - $225,400 P4: $195,500 - $264,500 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits @ Pave At Pave, career advancement drives everything-roles expand, responsibilities deepen, and compensation rises alongside your professional growth. What we provide Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision - Our vision is to unlock a labor market built on trust Mission - Our team's mission is to build confidence in every compensation decision Are you ready to help our customers make smarter, more effective compensation decisions? As set forth in Pave's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr

About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks' Foundation Model API. You'll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack - from kernels and runtimes to orchestration and memory management. What You Will Do Contribute to the design and implementation of the inference engine, and collaborate on model‑serving stack optimized for large‑scale LLMs inference Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture‑of‑experts) into the engine Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning Integrate with federated, distributed inference infrastructure - orchestrate across nodes, balance load, handle communication overhead Collaborate cross‑functionally: with platform engineers, cloud infrastructure, and security/compliance teams Document and share learnings, contributing to internal best practices and open‑source efforts when possible What We Look For BS/MS/PhD in Computer Science, or a related field Strong software engineering background (3+ years or equivalent) in performance‑critical systems Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc. Hands‑on experience with CUDA, GPU programming, and key libraries (cu BLAS, cu DNN, NCCL, etc.) Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler) Experience building instrumentation, tracing, and profiling tools for ML models Ability to work closely with ML researchers, translate novel model ideas into production systems Ownership mindset and eagerness to dive deep into complex system challenges Bonus: published research or open‑source contributions in ML systems, inference optimization, or model serving Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $142,200 - $204,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Follow Databricks on Twitter, LinkedIn, Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading enterprise software provider in San Jose is looking for a Senior Software Engineer to join their AI products team. The ideal candidate should have over 5 years of software development experience, proficiency in Go or Python, and strong foundational knowledge in computer science. This full-time role provides competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As a member of the product security team, focused on embedded systems and firmware, you will help design, implement, and maintain systems and software for on-vehicle security. This includes security functionality like secure boot, code verification, device identity, and access control. You will work closely with cross functional teams, to integrate security functionality into vehicle components. This role is located at our Palo Alto, California office and reports directly to the Manager, Security Firmware. Responsibilities Configure and manage chip level security features Design security systems and solutions for connected vehicles and related products Work with other teams and stakeholders to build security into features and products Develop product security requirements that meet program needs while reducing risk Work with development teams to ensure they meet requirements and validate them for each release Continuously improve and adapt the security implementations to adapt to customer needs, program goals, and evolving technologies Write and maintain complex technical documentation for both developers and non-technical people Drive complex multi-team, cross-functional projects across multiple programs Qualifications Education - Preferred to have a degree in Computer Science, Computer Engineering, or similar field preferred or equivalent applicable industry experience Technical Skills 7+ years of experience working on embedded platforms In-depth knowledge of embedded systems Experience with Linux, AOSP, and/or RTOS Significant experience with C/C++ development, Java (android) is a plus Strong understanding of SELinux, DM‑Verity, and other Linux hardening features Strong understanding of cryptographic principles and secure coding practices. Strong understanding of networking fundamentals such as Ethernet, TCP/IP, Wireless Technologies Understanding of automotive networking interfaces and protocols (CAN, UDS, etc.) Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California-based applicants: $162,500 - $203,100 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provide robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A leading software development firm in San Francisco is looking for an experienced Software Engineer to design and implement critical software for satellite operations. This role requires expertise in C/C++ and Python, along with strong knowledge of version control and continuous integration tools. The position offers a competitive salary range of $125,000 - $175,000 and numerous benefits, including comprehensive health insurance and flexible time off. #J-18808-Ljbffr

Convex is transforming the way developers build applications. Our mission is to fundamentally change how software is built on the Internet by empowering developers to create fast, reliable, and dynamic apps without a backend team. We provide a full-stack app platform carefully designed with database, compute and backend abstractions that allow developers and LLMs to move fast but also create products that scale and remain simple over their lifetime. The Team: Convex has assembled a team of engineers who have built and designed some of the largest backends in the world, with exabytes of data, millions of transactions per second, and shipped desktop and mobile software onto billions of devices. We are a group of friendly, collaborative, and passionate people that love working in-person together in our office in San Francisco. The Role: Convex has a large product surface area across our dashboard, insights, third-party integrations, project management, billing systems, email services, logging, streaming, etc. These are all core to our customers' businesses so they need to be powerful and reliable but also intuitive and a delight to use. We're looking for engineers who are deeply passionate about building good product experiences and expanding our product offerings, especially as we grow more up-market. If you're an engineer with good design taste who cares about quality but is also very comfortable with prioritization and working directly with customers and business teams, you'll likely be a great fit for this team. This is a role for folks who don't just want to be solving puzzles, they want to do work that has real impact and to apply product sensibilities to deciding “why” and “what” we build, not just “how”. What You'll Do: Design, build and maintain Convex's platforms, dashboard UI, integrations, billing and other services. Work directly with customers and company leadership (hi! this is me, James) to shape plans for what features we need to build. Develop a strong understanding of what matters for our customers and what matters for our business and leverage this to make tradeoffs and discern between competing priorities. Help establish good practices and reliability guidelines as we scale up our team and systems. Write a bunch of cool product and platform code. What Excites Us: Strong UX sensibilities and enthusiasm to build intuitive interfaces. The ability to conceptualize the needs of someone else. Often our customers have much larger teams than ours with different business requirements we need to understand. Empathy for what drives the business and and expertise at prioritizing what matters. Experience or enthusiasm for scaling in a high growth startup environment. Interest to work in-person at Convex's office in SF. An appreciation for clean architectures and an ability to write high quality code. An enthusiasm for going deep to understand Convex systems and not be constrained to a certain layer of the stack Ideal characteristics Have they seen excellence? If someone has a few years of experience it's extremely valuable for them to have worked closely with a person, team or organization that's truly excellent, in any domain. Excellence can't just be learned passively since it requires being better than the status quo. The candidate doesn't need to be excellent yet but they need to have an appreciation that it requires a lifetime of dedication. Are they a deep thinker? Convex is a rejection of industry norms and a belief there's a better way of building apps. This requires us to think for ourselves and chart our own course. Engineers here need to think deeply about why they're solving problems and the long-term implications of their choices. If someone does something just because they were told to or because it's a “best practice” they will probably not excel here. Do they understand the demands of a user-facing live-site service? We generally weigh experience on OLTP databases over OLAP or offline systems. Not just because it's more relevant domain experience but it also involves a mindset that the system absolutely must work because there's a critical user-facing application on the other side. Live-site experience brings an appreciation of how hard it is to keep a service running at all times and how important it is to build simple well-abstracted systems that are less likely to fail. Do they value simplicity and pragmatism? Simplicity is at the heart of all good systems, especially those that are able to scale and adapt to future needs. In addition to architectural simplicity, we also try to do the simplest thing to solve a given problem at Convex. Don't come here because you want to write a consensus protocol or storage engine, even though sometimes we need to do these things. Come here because you want to get really good at achieving great things in the simplest possible way. Do they bring energy to the room? Startups are hard. Building something from nothing is hard. Driving forward progress despite uncertainty is hard. Shitting on stuff is easy and just brings everyone else down. We have a high bar for quality but also a high bar for being constructive, positive, and excited about making things better. We're meant to having fun here. Do they have tenacity? Working at Convex is rewarding and the workload isn't crazy but our users come first and sometimes that means we need to be on-call. We sometimes (rarely), get paged at night and have to respond with dedication, sometimes need to dig deep to debug a tricky issue or solve a problem no one has solved before. There's a camaraderie that comes from being in a team where everyone has tenacity, will step in to help each other out, and can be trusted to do the right thing. *The salary range for this full-time position is >$170,000 + equity + benefits #J-18808-Ljbffr

We are looking for a Software Engineer to join our team. The ideal candidate will have experience in developing scalable applications and a passion for technology. Responsibilities: Design, code, and test software solutions. Work closely with product managers and other engineers to deliver high-quality products. Requirements: Bachelor's degree in Computer Science or related field. Proficiency in Java, Python, or JavaScript. Experience with cloud technologies. Strong problem-solving skills. Please mention the word JOLLY and tag RMzUuMjA5LjY1LjE2OQ== when applying to show you read the job post completely (#RMzUuMjA5LjY1LjE2OQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. #J-18808-Ljbffr

Continue is seeking an experienced software engineer to help us improve the foundations of our IDE extensions, the hub.continue.dev backend, and various services we'll build on top of them (e.g. codebase sync/indexing engine, data ingestion, VMs for background agents). About you Please keep in mind that we are describing the background that we imagine would best fit the role. If you don't meet all the requirements, but you are confident that you are up for the task, we absolutely want to get to know you! You are highly proficient in TypeScript, Go, or any transferable language You have interest in AI engineering or machine learning You have experience scaling systems for stability, maintainability, and great developer experience You are willing to simplify and make trade-offs in order to move quickly What you will do We're a startup, so you'll have to be ready to do whatever is required to accomplish our mission. However, you can definitely expect to: Hold and enact strong opinions about architecture that let us quickly deliver both SaaS and on premise products Build out large portions of our backend services Define and solve fundamental problems to improve core product metrics like autocomplete acceptance rate and codebase retrieval accuracy in our open-source product Design thoughtful abstractions to underpin our product and potentially serve as open-source standards #J-18808-Ljbffr

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks - LangChain and LangGraph - see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization. Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more. *Please note we are not considering candidates with less than 3 years of experience for these roles at this time.* About the role(s) We are hiring two Applied AI Engineers with the same technical skillset but different areas of focus (see below). The interview process is the same, team matching will happen at the end of the process: Applied AI - Core External Products & Internal Tools Build AI-powered workflows, agents, and full-stack applications that power our customer-facing products and internal teams. Much of this work is open source and contributes directly to the LangChain/LangGraph ecosystem. Applied AI - Marketing Build LangChain- and LangGraph-powered agents that make our marketing, sales, and growth teams more efficient. Work closely with Marketing Ops, Sales Ops, Growth, and Data to design, prototype, and deploy agents that automate workflows, run analysis, and accelerate pipeline generation. You will Implement AI workflows and applications end-to-end, from design and architecture through production deployment. Design and iterate on novel agent architectures to solve real-world tasks. Build and maintain evaluation pipelines to test and improve agent performance. Stay current on emerging AI trends and translate them into actionable solutions and technical guidance. Clearly explain technical concepts and outcomes to both technical and non-technical stakeholders. (Marketing track) Partner closely with Marketing/GTM teams to identify high-impact opportunities for AI adoption and communicate measurable business value. (Core track) Collaborate with product and engineering to ship new customer-facing AI products and internal tools that expand what LangChain can offer. How to be successful 3+ years of software engineering experience including 1+ year building AI applications professionally. Experience implementing evaluations for agents/workflows. A subject matter expert in the components that make up an AI application, and how/when to best utilize each: prompting/context engineering, retrieval methods, agent architecture, LLM inference APIs & what LLMs preform best in specific tasks (e.g. Gemini for multimodal). Strong coding skills in Python or TypeScript, ideally both. Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders. Startup DNA. The ability to thrive in a fast-moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and help drive he future success of the company. A naturally curious person, always interested in learning new skills and growing as an engineer. Nice to Have Expertise in LangChain/LangGraph. Experience in Applied AI research roles. Experience building full-stack applications end-to-end, including both design/frontend & backend implementation. Processionally proficient in both Python and TypeScript. Experience maintaining open-source projects. * Hiring onsite in San Francisco (preferred), NYC, or Boston #J-18808-Ljbffr

At 10X Business Consulting we go beyond the job requirements to learn about your company culture and values, and we help identify the soft skills that will find the perfect fit out of all the qualified candidates. Our unique Quick Start Process allows us to present you with the strongest candidates as quickly as possible. We partner with you, as an extension of your team, to make the entire search-to-hire process as smooth as possible. We're seeking a highly skilled Software Engineer (C++ Systems) to join our client's team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers. You'll play a critical role in scaling our platform as we serve a rapidly growing customer base, owning production systems from day one and tackling technically demanding challenges at the forefront of GPU infrastructure. What You'll Do Optimize performance of our C++ GPU virtualization library at the systems level Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters Support new hardware and software architectures with a deep, end-to-end understanding of the stack Debug low-level systems in production environments Diagnose and resolve performance issues in machine learning workloads Collaborate closely with the CTO on advanced systems design and implementation Required Experience Proven experience building and operating low-level systems in production environments Background working with compilers, kernels, or networking protocols Demonstrated ability to trace and resolve performance issues across complex systems Technical Skills Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++) Experience optimizing C++ and NIC performance Strong systems-level debugging and performance analysis skills Education Degree in Computer Science or a related field from a top-tier program Strong academic performance (3.7+ GPA) Soft Skills Ability to deliver high-quality output quickly in an early-stage startup environment Comfortable taking full ownership of critical production systems Thrives in ambiguous, high-impact problem spaces Company & Opportunity Building GPU virtualization software that dramatically improves GPU efficiency Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months Backed by Y Combinator and a recently closed $4.5M Seed round Join as employee #5 at a pivotal moment: product-market fit validated and scaling rapidly Work directly with the CTO on systems challenges few startups get to tackle This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research Expect ownership, impact, and problems that demand top 0.1% technical skill Why This Role If you love squeezing performance out of low-level systems, enjoy working at the intersection of GPUs, distributed systems, and production infrastructure, and want to help scale a breakthrough platform at an early stage, this role offers a rare and exciting opportunity. #J-18808-Ljbffr

An innovative company is on the lookout for talented software engineers to join their dynamic team. This role offers the unique opportunity to work at the intersection of neuroscience and cutting-edge technology, contributing to the development of software that enhances brain functionality. You will be part of a scrappy, multidisciplinary team that values creativity and initiative, tackling impactful challenges that can improve people's daily lives. If you are passionate about software and eager to make a difference, this position could be your next exciting adventure. #J-18808-Ljbffr

Benefits Medical insurance Dental insurance Vision insurance Parental leave Paid time off Paid holidays 401(k) and retirement plan About the Team OpenAI's Enterprise Identity team builds and maintains the core authentication and authorization systems used across our enterprise products. We ensure secure, scalable, and seamless access for small businesses and global organizations adopting ChatGPT, API, and other OpenAI offerings. Our work is foundational to enterprise security, IT integration, and safe deployment of AI in the workplace. About the Role We're looking for a software engineer to lead the development of OpenAI's enterprise identity platform. You'll design and implement systems that support SSO, SCIM, RBAC, and identity federation across all OpenAI products. Your work will directly support our most critical customers and unlock safe, large-scale enterprise adoption of OpenAI's models. Responsibilities Build the next generation of enterprise authentication and authorization infrastructure, including SAML, OIDC, and OAuth2.0 integrations. Design and implement support for key enterprise standards: SSO, SCIM provisioning, RBAC, and delegated access. Evolve our identity data model and architecture to support complex customer org structures. Partner with GTM, security, and product teams to shape identity features that meet current and future enterprise needs from small business to multinational organizations. Develop tools and APIs for other engineering teams to integrate enterprise identity seamlessly. Qualifications Have experience building and operating production authentication and identity systems at scale. Are fluent in identity protocols (OAuth2.0, SAML, SCIM, OIDC) and their security considerations. Have worked with platforms like Auth0, WorkOS, or Ory Hydra. Enjoy building secure, developer-friendly APIs and infrastructure. Are excited about shaping how enterprises safely access and govern the use of frontier AI. 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. 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. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. We are now directing you to the original job posting. Please apply directly for this job at the employer's website. #J-18808-Ljbffr

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role Backend Software Engineer As a Backend Software Engineer, you will work on critical infrastructure powering identity, account management, and trust & safety systems that serve millions of learners. You'll collaborate with experienced engineers and product managers to improve our secure sign-up and login flows, support compliant messaging, and implement scalable systems for user protection and privacy. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday, and as needed by your manager or the company. We believe this environment facilitates better teamwork, growth, and connection. In this role, you will Build and maintain secure authentication and account services (OAuth2, MFA, SSO). Help scale our user messaging platform, integrating systems like Braze. Implement features that support moderation, privacy requests, and abuse detection. Collaborate with teammates to ensure compliance through consent flows and data handling. Participate in design and code reviews, continuously improving code quality and reliability. What you bring to the table 2+ years of backend or platform engineering experience. Proficiency in Node.js, Go, Python, or TypeScript. Interest in identity systems, security, and privacy-first design. Understanding of distributed systems and modern service architecture. A collaborative spirit and curiosity to learn from peers. Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $163,900 - $190,800, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work-life balance. Take 20 vacation days per year. Access to competitive health, dental, and vision insurance. Employer-sponsored 401(k) plan with company match. Access to LinkedIn Learning and other resources for professional growth. Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits. 40 hours of annual paid time off for volunteer programs. Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people's lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. #LI-FT #J-18808-Ljbffr

A leading tech company in California is seeking a passionate Software Engineer to design, develop, and productize autonomous driving solutions. The ideal candidate will have strong programming skills in C++ and Python, with proven experience on embedded platforms for real-time applications. This role offers competitive salary ranging from $184,000 to $356,500 depending on level and experience. Join our innovative team to work on cutting-edge technology in a diverse environment. #J-18808-Ljbffr

An innovative automotive technology firm based in Palo Alto is seeking highly skilled software engineers to join its Wireless Software team. You will be responsible for designing and developing complex software applications and state machines for connectivity solutions. The ideal candidate has strong C++ programming skills and experience in 4G/5G application development. The position offers competitive compensation and a chance to work on cutting-edge technologies in an exciting environment. #J-18808-Ljbffr

Software Engineer, Fleet Hardware Health | OpenAI Careers Software Engineer, Fleet Hardware Health Scaling - San Francisco Apply now (opens in a new window) About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI's models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI's compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automation to reduce manual work. You might thrive in this role if you have: Experience managing large-scale server environments. A balance of strengths in building and operationalizing. Proficiency in Python, Go, or similar languages. Strong Linux, networking, and server hardware knowledge. Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool. Prior hardware expertise is not required for this role. Bonus Skills: Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning) Knowledge of hardware management protocols (e.g., IPMI, Redfish). High-performance computing (HPC) or distributed systems experience. Prior experience developing, managing, or designing hardware. Familiarity with monitoring tools (e.g., Prometheus, Grafana). 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 Aff… (trimmed to keep essential EEO 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. (EER details truncated for brevity). 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 Compensation $325K - $590K + Offers Equity Apply now (opens in a new window) #J-18808-Ljbffr

About the Team The Sora team is pioneering multimodal capabilities for OpenAI's foundation models. We're a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit. About the Role We're looking for experienced, problem‑solving engineers to build new products and scale our systems. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You'll work in a deeply iterative, collaborative, fast‑paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. As we explore new frontiers in video‑enabled AI and other modalities, you will help define our product strategy and build the foundations for these initiatives. We value engineers who take initiative, demonstrate strong product instincts, and maintain a user‑centric focus in their work. In this role, you will: Collaborate with cross‑functional teams to design, build, and iterate on innovative video product features. Translate user needs and research insights into scalable product solutions. Work with researchers to integrate advanced video capabilities into our core offerings. Shape the technical roadmap and product strategy for our video initiatives. You might thrive in this role if you: Have 6+ years of industry experience in product engineering, with a proven record of shipping impactful, user‑focused products. Excel in environments with ambiguity and rapid change, turning complex requirements into practical, elegant solutions. Possess a proactive mindset with the ability to quickly learn new technologies and share your insights with your team. Bonus: Have experience building or supporting video infrastructure, which will be valuable as our product scales. 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. 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 Aff… 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. #J-18808-Ljbffr