Embedded software engineer jobs in Newark, CA

HCLTech is looking for a highly talented and self- motivated Embedded Software Engineer to join it in advancing the technological world through innovation and creativity. BR- 1642948BR Job Title: Embedded Software Engineer Position Type: Full-time Location: Milpitas, CA Onsite: RTO (5 days per week) Experience level: 3+ yrs 1. Lead and manage c++ development projects from inception to completion. 2. Provide technical expertise in c++ programming, resolving complex coding issues efficiently. 3. Collaborate with cross functional teams to design, develop, and implement c++ solutions. 4. Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards. 5. Mentor junior developers, offer guidance on best practices in c++ programming, and foster a collaborative team environment. Skill Requirements 1. Proficiency in c++ programming language with a deep understanding of object-oriented design principles. 2. Strong experience in developing efficient and scalable c++ applications. 3. In-depth knowledge of data structures, algorithms, and software design patterns. 4. Familiarity with version control systems like git and continuous integration tools. 5. Excellent problem-solving skills and the ability to troubleshoot and debug complex issues. 6. Strong communication skills to effectively convey technical concepts and collaborate with team members. Certifications: Relevant certifications in C++ programming are a plus. Pay Range Minimum : 79000 Pay Range Maximum : 121000 HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Title: Embedded GUI Engineer Duration: 6-12+ months Contract-to-Hire (C2H) Role Summary: Embedded GUI Engineer Seeking an experienced Embedded GUI Engineer to design, develop, and optimize graphical user interfaces for next-generation embedded devices. The role requires strong hands-on expertise with LVGL, Zephyr RTOS, and embedded graphics stacks, working closely with UX, platform, and hardware teams. Key Responsibilities Design and develop embedded GUIs using LVGL and Zephyr RTOS. Collaborate with UX teams to evaluate design concepts, build prototypes, and assess feasibility. Develop UI assets and workflows using tools such as Figma, ProtoPie, FreeType, em Win, etc. Optimize graphics pipelines considering memory, performance, and system constraints. Interface with embedded platform software engineers and silicon vendor graphics stacks (e.g., OpenGL, Skia, TouchGFX, VGLite). Provide input on component and hardware selection related to 2D/3D graphics performance. Participate in system-level architecture, design reviews, and product definition. Ensure alignment between development, testing, documentation, and delivery milestones. Communicate progress, risks, and dependencies to stakeholders. Contribute to continuous improvements in development processes, tooling, and methodologies. Required Skills & Qualifications Bachelor's/Master's degree in Computer Science, Electrical Engineering, Embedded Systems, or related field. 5+ years of experience in embedded software, GUI development, or HMI engineering. Strong hands-on experience with LVGL and embedded UI frameworks. Experience working with Zephyr RTOS or similar real-time operating systems. Solid understanding of embedded platforms, compilers, build systems, and version control. Experience with GUI/UX workflows, validation, and performance optimization. Strong communication, documentation, and cross-functional collaboration skills. Ability to manage tasks, timelines, and deliverables in fast-paced environments. Good-to-Have Experience designing complete GUI development pipelines (asset creation → build → deployment → automated testing). Familiarity with GPU/graphics accelerators and hardware bring-up. Exposure to automotive, consumer electronics, medical devices, or IoT products. Experience with C/C++, Python, or shell scripting. Knowledge of Jira, Confluence, Microsoft Project, or similar PM tools.

Responsibilities Design and develop high-performance AI frameworks for large-scale distributed computation Optimize scalability and efficiency using Nvidia Dynamo Framework Work with distributed dataflow programming to orchestrate GPU workloads using Python and Kubernetes Integrate advanced LLMs into real-world applications, shaping the future of AI-driven software Contribute to building test-automation infrastructure for Kubernetes on large-scale GPU clusters. Help develop detailed test plans for different milestones and operationalize them in test-automation infrastructure. Own and conduct end-end system, scale and stress testing. Working together with SW leads and Technical Program Manager, qualify the releases. Attract and help build downstream production engineering talent. Role model and foster a culture of humility and innovation for product delivery. Experience: 3-8+ years of experience in software engineering, ideally at a staff level Strong expertise in distributed dataflow programming and distributed systems Hands-on experience with LLMs and AI frameworks Proficiency in Python, with experience orchestrating GPU workloads Experience with Kubernetes for containerized application deployment and orchestration Experience working in systems & systems SW, Cloud and Kubernetes. Experience with production-testing and automation of Kubernetes deployments. Preferred Qualifications: Master's or similar qualification in a relevant field. Experience with scalable test and automation infrastructure to productionize workloads. Experience with GPU platforms (e.g., Nvidia DGX, H100) and high-performance computing environments. Experience triaging customer bugs, prioritizing, and resolving issues in production. Familiarity with AI developer frameworks, tools, and automation systems

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for: Job Title 1: BMC Firmware Engineer x 15 Openings Job Title 2: BIOS Firmware Engineer x 15 Openings Job Type: Fulltime Job Location: Fremont, CA or Nashville, TN Work Schedule: Onsite Job Title 1: BMC Firmware Engineer Responsibilities: Design, develop, and maintain BMC firmware solutions using embedded C and C++ in a Linux based environment. Implement industry specifications and protocols such as OpenBMC, Redfish, IPMI, and other Distributed Management Task Force (DMTF) standards. Develop firmware to interface with server hardware components, including sensors (voltage, temperature, fan speed), power supplies, and peripherals, using protocols such as I²C, SPI, and UART. Implement key BMC features including remote monitoring, power management, event logging (System Event Log/SEL), and remote keyboard-video-mouse (KVM) access. Collaborate with hardware design and platform architecture teams to ensure proper BMC integration during hardware bring-up and validation. Maintain security measures for BMC access, including user authentication, secure firmware updates, and vulnerability prevention. Use debugging tools and methodologies to diagnose and resolve system-level issues related to BMC and hardware interaction. Prepare and maintain technical documentation, including design specifications, test plans, and release notes. Provide guidance to junior engineers and take ownership of small to mid-sized projects. Qualifications: Proficiency in C and C++ programming for embedded systems. Hands-on experience with embedded Linux and OpenBMC framework. Strong understanding of server hardware architecture and communication protocols (I²C, SPI, UART, PCIe). Ability to troubleshoot and debug complex system-level interactions. Effective communication skills for cross-functional collaboration. Ability to work independently on most assignments and provide technical leadership on smaller projects Preferred qualifications: Familiarity with DMTF standards such as Redfish, MCTP (Management Component Transport Protocol), PLDM (Platform Level Data Model), and SPDM (Security Protocol and Data Model). Experience with System-on-a-Chip (SoC) architectures, particularly ARM-based systems. Knowledge of scripting languages (e.g., Python, Shell) for automation and testing. Exposure to Agile development methodologies. Understanding firmware security principles. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related technical field. 2-5 years of hands-on embedded firmware development experience, specifically with BMC systems. Demonstrated ability to lead tasks or small projects with limited supervision. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. Job Title 2: BIOS Firmware Engineer The BIOS/UEFI Firmware Engineer will design, develop, and debug system firmware that initializes hardware and boots operating systems. This role focuses on UEFI and BIOS development, ensuring optimal system performance, security, and hardware compatibility from power-on. The engineer will also provide technical leadership, mentor junior engineers, and collaborate across hardware, software, and security teams as part of the Engineering Services organization. Key Responsibilities Design, develop, and maintain UEFI/BIOS firmware using C/C++. Contribute to all stages of the UEFI boot process, including SEC, PEI, and DXE phases. Lead hardware bring-up for new platforms and debug hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system components such as DDR, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures (e.g., Secure Boot, Intel Boot Guard, TPM integration). Collaborate with hardware teams to interpret schematics, datasheets, and ensure accurate hardware configuration. Use advanced debugging tools (JTAG, logic analyzers, in-circuit emulators) to troubleshoot complex issues. Participate in and lead code reviews, author technical documentation, and mentor junior team members. Partner cross-functionally with hardware, OS, and security teams to ensure system compatibility and reliability. Qualifications Strong proficiency in C/C++ programming for embedded systems. Deep understanding of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Experience with hardware interfaces such as PCIe, SPI, I2C, and USB. Skilled in low-level debugging of boot and hardware initialization issues. Familiarity with System Management Mode (SMM), ACPI, Intel FSP, or IFWI. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with Python or other scripting languages for automation. Proven leadership skills-guiding projects, mentoring engineers, or leading technical initiatives. Excellent analytical, problem-solving, and communication skills. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Saurav Kumar (****************** / *************** for more details.

🚀 Staff Software Engineer (TypeScript) - Member of Technical Staff 📍 SF | 💰 $200K-$300K + Equity | 🩺 Full Benefits | 🌴 Unlimited PTO | 🧭 Flexible Work We're partnered with a next-generation AI automation company building intelligent agents that redefine how complex workflows are executed. With $10M+ in funding and an elite engineering team (MIT alumni, ex-Meta), they're entering a stage of hypergrowth! This is a hands-on Staff/MTS role for someone who wants to set technical direction, own platform architecture, and ship core systems that power both developer and no-code automation experiences. 🧩 What You'll Own Own major architecture & platform decisions End-to-end TypeScript (Node / Nest / Express / React / Next) APIs, SDKs & no-code automation tools Event-Driven Architecture & IaC Streaming Systems, Workflow Orchestration & Durable Systems Advanced RAG pipelines & data orchestration layers End-to-end feature ownership across backend, frontend & workflows Testing excellence & CI/CD with Cypress, Playwright & modern pipelines Technical leadership, mentorship & engineering standards 🎯 Who Thrives Here Staff-level engineer with a history of leading complex, cross-system initiatives Deep TypeScript mastery across platform, product & tooling Strong experience with Node, Express/Nest, React, Next, Prisma & modern ORMs Proven success shipping complex APIs, SDKs, dev platforms or distributed systems Reliability-first mindset with strong automated testing Bonus: workflow automation, durable objects, RAG, data pipelines, web scraping Product-driven, pragmatic, and excited to build tools people actually use 💥 Why This Role Is Special You'll shape the core of an AI agent platform from the inside Real architectural authority & ownership Direct access to founders & technical leadership Work with elite engineers tackling genuinely hard engineering problems High compensation, meaningful equity, and long-term impact This is a rare chance to build foundational infrastructure for the future of AI agents alongside a deeply technical, fast-moving team. You'll have real ownership, real influence and the opportunity to shape a platform that is defining how automation is built at scale. If you're excited by hard problems, massive technical leverage, and building systems that matter - we'd love to hear from you.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Hi, Want to Connect regarding a urgent position please review below description and let me know if you are interested. Job Title: Senior Cloud Software Engineer (Threat Prevention & AppID) Duration: 7+ Months Xoriant reasonably expects the pay rate for this position to be within the following range: $50/hr-52/hr. Job Description: Duties: Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. Your Impact: Participate in the design and implementation of threat prevention & AppID cloud services for public cloud and private cloud features Participate in all phases of the product development cycle, from definition, design, through implementation and test Provide real-time security services to customers Work with PLM on new feature requirement Work with QA and DevOps on new release deployment Work with support to handle customer issues Work with security researchers and data scientist on a new feature request Additional Information: The Team We are the Threat Prevention & AppID Infrastructure team. Our engineering team is at the core of our products deliver the best of security services on the cloud to prevent cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Skills: Qualifications Your Experience: BS/MS in Computer Science or Computer Engineering Solid programming skills in GoLang, Python or Java Solid knowledge and skills on Linux Solid skills with Kubernetes and Docker Rich Google Cloud Platform experience is a plus Solid knowledge of web servers/proxies such as NGINX, envoy 3 years of working experience on data infrastructure platforms Strong micro-service development experience Rich Experience with SQL and No-SQL DB technologies such as MySQL, Redis Hands-on experience with the queuing system such as RabbitMQ, Kafka, experience with Pub/Sub is a plus Solid skills in multi-threads and multi-processes programming and experience in a distributed system are preferred DevOps experience a plus Teamwork, problem-solving and a can-do attitude Education: Bachelor s Degree in Computer Science or related field (or equivalent) Regards, Akangsha Mohite Team Lead W: ************** E: *************************** Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

Job Title: BIOS Firmware Engineer Job Type: Fulltime Work Schedule: Onsite Salary: 120000 - 150000/Yearly The BIOS/UEFI Firmware Engineer is responsible for the architecture, design, development, and debugging of UEFI (Unified Extensible Firmware Interface) and BIOS (Basic Input/Output System) firmware for computer systems. This role focuses exclusively on the firmware that initializes hardware and boots the operating system, ensuring compatibility, security, and performance from power-on. It emphasizes not only hands-on technical expertise but also leadership in guiding projects and supporting team members. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Design, develop, and maintain UEFI/BIOS firmware using C and C++. Contribute to all phases of the UEFI boot process, including Security (SEC), Pre-EFI Initialization (PEI), and Driver Execution Environment (DXE). Lead effort in hardware bring-up for new platforms, debugging complex hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system hardware such as DDR memory, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures such as Secure Boot, Intel Boot Guard, and Trusted Platform Module (TPM) integration. Collaborate with hardware engineers to interpret schematics and datasheets and ensure accurate hardware configuration. Use debugging tools (e.g., JTAG, in-circuit emulators, logic analyzers) for troubleshooting. Participate in and provide leadership during code reviews, write technical documentation, and mentor junior engineers. Work cross-functionally with hardware, operating system, and security teams to ensure system compatibility and reliability. Qualifications: Strong proficiency in C/C++ programming for embedded systems. In-depth knowledge of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Solid understanding of hardware interfaces such as PCIe, SPI, I2C, and USB. Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with demonstrated ability to work independently. Proven leadership skills, including mentoring, guiding projects, or leading initiatives. Experience with scripting languages such as Python for automation. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with low-level debugging of boot-related issues. Understanding of System Management Mode (SMM), Advanced Configuration and Power Interface (ACPI), Intel Firmware Support Package (FSP), or Intel Firmware Image (IFWI). Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum of 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (******************* / ************* for more details

Staff Software Engineer (IC) - High-Growth AI/FinTech Startup Full-time · Hybrid (San Francisco) $220k-$300k + equity A well-funded, rapidly scaling startup in the AI-driven fintech space is looking for an experienced Staff Engineer to take ownership of reshaping the foundations of their core platform. After two years of fast iteration and customer growth, the product has evolved into a set of independently built services. They now need a senior IC who can bring coherence, scalability, and long-term architectural stability as the engineering team expands. This is a high-impact individual contributor role working directly with the CTO. You'll set technical direction, oversee major system redesigns, and help prepare the platform to support significantly larger usage, customer demands, and a future 20-40+ engineer organisation. What You'll Be Doing Lead architectural transformation Redesign major components into a unified, maintainable, scalable system. Remove legacy code, reduce fragmentation, and introduce sound architectural patterns. Define technical standards and guide the broader engineering team towards consistent, high-quality design. Drive high-leverage engineering work Partner closely with the CTO on long-term technical strategy. Lead development of workflow systems for real-time identity, income, and document verification. Strengthen the infrastructure that powers the company's automated decisioning engine (currently >70% auto-approval/denial rate). Support integrations with internal ML models that perform fraud detection and financial document understanding. Influence and elevate the engineering culture Collaborate with senior and junior engineers across backend, full-stack and infra. Improve developer velocity and support onboarding of larger enterprise customers. Help the company scale from an early-stage engineering organisation to a mature, high-performance team. What They're Looking For 7-8+ years' experience as a strong backend or full-stack IC. Proven ability to re-architect complex systems and scale codebases beyond the “early startup” phase. Experience in a fast-growing startup (Seed → A → B or similar) where the engineering org expanded meaningfully. Depth in modern backend or full-stack development (ideal: TypeScript, React, Node.js, Python). Someone who thrives in ambiguity, makes pragmatic technical decisions, and moves quickly. A high engineering bar and the ability to raise the standards of those around you. Tech Environment Frontend: TypeScript, React Backend: Node.js, Python Data: Postgres, BigQuery, Redis Cloud: GCP Hybrid working model; candidates must be based in or willing to relocate to the San Francisco Bay Area. (Hybrid flexibility available for senior candidates.) Why This Role Is Exciting Join a business with strong revenue, real customers, and top-tier backers. Have ownership of mission-critical architecture, not just feature work. Work alongside a highly capable CTO and shape the company's technical trajectory for years to come. Build systems that support real-world decisions for millions of end-users. Competitive salary, meaningful equity, and the chance to make a long-term technical mark.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.