Senior Embedded Software Engineer remote jobs

Senior Developer (Full Stack) 100% Remote 6-month contract (potential for extension) As the Senior Developer (Full Stack), you will be responsible for modernizing legacy applications and developing cloud-native solutions for the Executive Office of Education (EOE). You will design and maintain both front-end and back-end components using Node.js, Angular, and TypeScript, while supporting older Java and .NET systems during their transition. This role involves collaborating with cross-functional teams to analyze existing systems, build scalable APIs, and implement secure, high-performing applications in an AWS environment. You will also mentor junior developers and ensure best practices in architecture, testing, and documentation. Minimum Qualifications: Strong experience in TypeScript, JavaScript, HTML, and CSS Proficiency with Angular for front-end development and Node.js/Express.js for back-end services Experience with Java and/or .NET for maintaining and refactoring legacy systems Familiarity with databases such as Postgres, Snowflake, Oracle, and SQL Server Knowledge of AWS services and cloud-native development Nice to Have: Exposure to CI/CD pipelines and DevOps tools (e.g., GitHub Actions, Jenkins) Experience with ORM tools like Sequelize or Hibernate Responsibilities: Design, develop, and maintain full-stack web applications using Node.js and Angular Assess and refactor legacy applications into modern architectures Build RESTful APIs and integrate with internal/external services Collaborate with teams and mentor junior developers on modern frameworks Write unit/integration tests and perform code reviews What's In It For You: Weekly Paychecks Opportunity to lead modernization initiatives in a fully AWS-implemented environment Collaborative team culture with cutting-edge technologies

Senior Software Engineer (Full Stack) Jacksonville, FL We are seeking a highly skilled and motivated Senior Software Engineer to join a fast-paced, agile development team. In this fully remote role, you will leverage your full-stack expertise to design, develop, and deliver cutting-edge software solutions using C#, Angular, SQL, and Azure. You will also play a key role in mentoring team members, contributing to the technical growth of the team. Responsibilities Design, develop, and maintain robust, scalable, and secure full-stack applications. Collaborate closely with cross-functional teams to define, plan, and deliver high-quality features. Write clean, efficient, and maintainable code that adheres to industry best practices. Optimize and troubleshoot applications to ensure peak performance and reliability. Utilize Azure services to build and deploy cloud-native solutions. Design and maintain databases using SQL, ensuring data integrity and optimal performance. Lead code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement. Actively participate in sprint planning, retrospectives, and other Agile ceremonies. Stay current with emerging technologies and contribute to technical decision-making. Qualifications 5+ years of professional experience in full-stack development. Proficiency in C#, Angular, SQL, and Azure. Strong understanding of object-oriented programming and modern design patterns. Experience building RESTful APIs and integrating third-party services. Familiarity with Agile development methodologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to mentor and guide others. Preferred Skills Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code. Knowledge of microservices architecture and containerization (e.g., Docker, Kubernetes). Understanding of security best practices in web and cloud development.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Mobile Engineer - React Native - $180K - $290k - Hybrid - Start Up James Chase Solutions is currently looking for an experienced Senior Mobile Engineer- React Native for my fantastic Start Up client based in the San Francisco. You'll work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for the learners and the business. Main duties - Scale up our business by designing, building, and supporting easy-to-use mobile applications Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt Build deep user empathy and maintain a user-centric mindset Communicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You'll work with other disciplines including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company Mentor and learn from other engineers You will be a highly experienced Android Engineer with strong experience of - Built and shipped mobile applications at scale (e.g., DoorDash, Uber, Lyft). Seen such companies grow at scale Deep expertise with Kotlin and Jetpack Compose 5 - 10 years of experience in overall mobile engineering, with at least 2 years in React Native Must be willing to work in-person minimum 3 days/week in SF Please note - I am not in the office and working from home on my mobile, so will get in touch ASAP if your application is successful. Should you possess the correct skills and experience for this position, we will be in touch with you within 7 days of the receipt of your CV. Should you not hear from us within this time frame, you have not been successful on this occasion. We wish you every success in your search for suitable employment.

**WHAT WE'RE BUILDING** **Purpose** is creating the world's first AI-powered personal-growth coach-helping people go from "I'm doing fine" to "I know who I am, what I care about, and how to live with clarity." Co-founded by Mark Manson (20 M+ readers, The Subtle Art of Not Giving a F***) and Raj Singh (100M+ users on last AI product, acquired by Revinate). Launching in a few months to Mark's massive audience. Blends personalized AI coaching, habit-building, and assessments-feels like a meaningful conversation, not an app. **WHY YOU'LL LOVE THIS ROLE** Shape the experience: own data flows, real-time APIs, and UI that make each coaching session feel like magic. Iterate at speed: weekly feature drops, rapid experiments, instant user feedback. Level-up daily: work shoulder-to-shoulder with founders who've shipped to hundreds of millions. **WHAT YOU'LL DO** Own the React Native mobile app-lead development, architecture, deployment (iOS + Android). Architect & scale AWS serverless infra: Lambda, DynamoDB, S3, API Gateway, AppSync, SNS/SQS. Build robust mobile-first APIs: sub-200 ms response times powering real-time features. Ship growth levers: referrals, feature flags, A/B tests, pricing experiments. Lead code reviews & set engineering standards that scale. Optimize for viral growth: handle spikes from 10 K to 1 M+ concurrent users at launch. **YOU BRING** 5+ yrs building consumer back-ends at 100 K+ MAU scale, plus proven mobile-app deployment. React Native mastery-complex state mgmt, navigation, perf tuning. End-to-end mobile deployment: App Store Connect, Google Play, Expo EAS, OTA updates, CI/CD. AWS serverless: Lambda, DynamoDB, S3, API Gateway, AppSync, SNS, CloudWatch, CDK/Terraform. Observability chops: OpenTelemetry, Datadog, Honeycomb, etc. Track record integrating auth (Clerk/Auth0), payments (Stripe), analytics SDKs. Scale-first mindset-design for 10× traffic growth without rewrites. Quality champion-strong code reviews, tests, docs. **BONUS POINTS** RAG / LLM pipeline experience, vector DBs. React Native performance tuning (Hermes, Expo EAS). Mobile CI/CD wizardry, automated testing. SOC 2 Type II steering. Real-time systems (WebSockets, SSE, GraphQL subscriptions). **PERKS** Unlimited PTO Founder-led growth coaching Best-on-planet tools High-trust, high-velocity team **Salary:** $80k - $160k • 0.0% - 0.25%

No third Party Vendors Full-Time - Direct Hire Hybrid: Three days onsite and two days working remote We're looking for a Senior Backend Software Engineer who's excited to get involved, solve real problems, and move fast. You'll play a critical role on a small, highly collaborative team working on products that directly impact our partners and customers. This isn't a siloed role - we want someone who's not just comfortable but energized by jumping into conversations with the product team, account managers, and customers. You'll help shape features from concept to launch and ensure they drive real customer value. What You'll Do Design, build, and maintain backend systems that are reliable, scalable, and performant Write clean, maintainable code and make thoughtful architectural decisions Collaborate closely with product managers, frontend engineers, and account managers to build products that solve real user needs Take ownership of features and systems, driving them from idea to production Review code, share knowledge, and contribute to a culture of learning and continuous improvement Troubleshoot issues in production and help improve system observability and resilience What We're Looking For 3+ years of hands-on experience in backend software development Strong knowledge of one or more backend languages (e.g., Java, Go, Node.js, etc.) Experience with relational databases, SQL, API design, and cloud infrastructure (AWS, GCP, or Azure) A history of working cross-functionally with non-engineering teammates (design, product, accounts, etc.) Comfortable working in a fast-paced, collaborative environment where priorities can shift Bonus: Experience with DevOps, security, collaborating with ML teams, and/or IoT devices

Senior AI Engineer - Video Search (Applied Research & Product) Remote - United States About the Company We're partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time. This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&D team pushing the boundaries of multimodal retrieval and AI systems design. The Role We're looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance. You'll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment. What You'll Do Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer). Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings. Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies. Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance. Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques. Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale. Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations. Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation. What We're Looking For 6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models. Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning. Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines. Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines. Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&B, K8s, Docker). Excellent communication skills and a collaborative, low-ego approach to problem solving. Nice-to-Haves Experience with temporal detection, video tracking, or re-ID. Exposure to Video-RAG or structured retrieval (metadata + knowledge graph). Background in real-time or edge inference systems. Interest in privacy-preserving or regulated AI systems. Compensation & Logistics Compensation: Competitive base salary + bonus + equity Location: Fully remote (U.S. based) Why Join Build real-world AI that operates at scale and latency levels few companies ever reach. Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment. Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.

This is a contract-based employment opportunity. About EOTSS: The Executive Office of Technology Services and Security (EOTSS) is the lead enterprise technology organization for the Commonwealth of Massachusetts. Charged with driving the ongoing alignment of business and technology across the Commonwealth's Executive Branch, EOTSS oversees and manages the enterprise technology, digital infrastructure and services, as well as the Commonwealth Security Operations Center and an enterprise Standard Operating Environment that includes an information security and risk management framework for over 125 state agencies and over 43,000 state employees. We directly serve our constituents by providing digital services and tools that enable taxpayers, drivers, businesses, visitors, families and other citizens to do business with the Commonwealth in a way that makes every interaction with government easier, faster, and more secure. Our Mission: We provide technology leadership across the Commonwealth to enhance the quality of public service and foster positive community outcomes. About Mass Digital: The Massachusetts Digital Service (Mass Digital), within EOTSS, partners with organizations across state government to transform how residents, visitors, businesses and government agencies interact with the Commonwealth. Mass Digital help our partners use the best technology, design, and data to make every interaction with Massachusetts government simpler, faster, and more meaningful. Now, we're turning our attention to a vision of statewide digital experiences that are more accessible, simple, and secure. Our roadmap calls for transforming state digital properties and content so that they meet the diverse needs of the people we serve. We'll achieve this through initiatives to create a single identity and profile for users of Commonwealth services, expand channels of communication, and improve people's integrated experience across different state services. We will develop new products and services, establish standards, and build capacity within agencies. To make this vision a reality, we are expanding our engineering team to dedicate technical staff to each of these product initiatives. About the Role: Are you a proven technical leader who wants to work on a meaningful public-service software project? Are you an engineer with experience working on large, complex systems looking to step into a leadership role? Read on, this role may be for you. We are looking for a Senior Identity and Access Management (IAM) Engineer to join our established IAM Team. The IAM team is responsible for creating and managing the infrastructure that provides people with a single account and password to sign in to all participating Massachusetts state services and applications. What You'll Do: As Senior IAM Engineer you'll be responsible for leading the review and design of new IAM B2C application integrations and deployments using Azure B2C to support the success of MyMassGov. MyMassGov is the state's constituent single-sign-on product, seeking to make it easier for Massachusetts constituents to access state services through a single set of credentials. Today, the site has over 550K active monthly users and is actively being rolled out to the state's largest and most impactful digital experiences. The Senior IAM Engineer is specifically focused on B2C application integrations (constituent-based applications) that service several thousand to millions of users. With evolving state agency needs & team structure within the IAM program, this position presents a unique opportunity for candidates to ideate creative engineering & architecture solutions focusing on ‘productizing' deliverables. Our current focus touches areas of optimizing deployments, workflow/upgrade automation, homogenizing our reference stack, improving security of B2C application single sign-on to cloud apps amongst other priorities. The Senior IAM Engineer will be responsible for prioritizing & defining engineering requirements, setting up Azure DevOps, and operational support with the adoption of next generation IAM and PAM solutions. The candidate will participate in projects & initiatives working with IAM team members, architecture, application development and agency specific engineering teams, service owners, and business stakeholders to provide enterprise IAM and PAM solutions that are scalable and adaptable. We value innovation and strive to continuously improve how we work and the services we provide; as a Senior IAM Engineer, you will have an opportunity to identify areas for improvement and to lead the efforts to refine and realize those improvements across our organization. Your First Month: You will spend your first few weeks paired with one of Mass Digital's senior technical leaders who will help you learn Mass Digital and EOTSS engineering practices and standards, support you through integrating with your product engineering team, and provide any other guidance you need to help you be successful. Where You'll Work: The primary work location for this role is 1 Ashburton Place Boston, Massachusetts 02108. The work schedule for this position is Monday - Friday, 9:00AM to 5:00PM EST. This position is expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed. However, we are usually able to accommodate any reasonable requests regarding work location, such as fully remote work. This position is expected to perform after hours when needed. Duties and Responsibilities: Work with EOTSS IAM team designing, deploying, supporting, and monitoring IAM solutions using Azure Active Directory or other similar tools. Work with EOTSS IAM team with designing, deploying, supporting, and monitoring PAM solutions using Azure DevOps, GitHub (version control and continuous integration), or other similar tools. Lead meetings to gather and document business requirements for IT Cyber Security and Compliance projects involving IAM, integration with Active Directory, Multi-factor Authentication (MFA), and Privileged Access Management (PAM). Work with business partners and application teams to understand their access and identity requirements and lead efforts to bring requirements in line with enterprise standards. Manage & monitor day-to-day issues, incidents & ensure issues are escalated and addressed, and processes are followed. Engage in the review & design of new IAM solutions and PAM solutions to ensure appropriate controls and tools are selected and operationalized. Act as a subject matter expert on key principles of IAM & PAM with an in-depth knowledge including Authentication and Authorization systems. Lead IAM projects & initiatives working with IAM team members, architectural, dev and engineering teams, service owners, and business stakeholders to provide enterprise IAM solutions that are scalable and adaptable with the ever-changing business needs and industry demands. Preferred Knowledge, Skills, & Abilities: Eight (8) years of IAM related experience, with a strong background in engineering and operationally running large scale infrastructure. Eight (8) years of experience installing, integrating, and deploying IAM solutions such as Entra ID/Azure AD, SailPoint, Okta, Radiant Logic, CyberArk, Ping, or other similar tools at an enterprise level. Thorough experience with IAM principles, methodology, and solutions including access control (role-based and discretionary), authentication, authorization, provisioning, approvals, and workflows. Strong hands-on experience and knowledge in managing projects through the full development lifecycle - specifically IAM solutions. Strong experience with C# programming language and best practices. Understanding key IAM concepts of Least Privilege, Privileged Access, Roles & Data mining, Segregation of Duty (SOD), & Role Based Access Control (RBAC). Proficient knowledge of modern Authentication methods, standards, and protocols such as Single Sign On SAML, OAuth, OpenID, Kerberos, LDAP, FIDO2, PIM, PIV, and other relevant mechanisms. Proficient experience and advanced working knowledge of access management, Azure Active Directory (Azure AD) and Federated Identities, directory services, Multi-Factor Authentication (MFA) & upcoming technologies in the identity space. Experience capturing IAM use cases and defining IAM requirements and processes. Experience in managing IAM infrastructure, on-boarding of applications, health check monitoring, policy and password management, certifications, workflows, work items and rules. Experience developing IAM governance documentation such as policies, procedures, standards and guidelines, role creation and management, separation of duties, and access reviews. Experience and working knowledge of security frameworks and standards such as ISO 27001, NIST, and Zero Trust. Document current state and future state business processes/workflows using standard process modeling tools and process improvement methodologies. Strong verbal, interpersonal, and written skills with the ability to work directly with business application owners and technical stakeholders to gather requirements and information on application data through reviews, information gathering sessions and walkthroughs. Proven ability to translate business problems, existing processes, and technology into service and process requirements. Strong problem-solving and troubleshooting skills. Certifications: Certified Identity & Access Manager (CIAM) or Certified Information Systems Security Professional (CISSP) Certification is a plus but not required.

Senior Azure Engineer | 464294 DETAILS 6M C2H Hourly / Salary: to $170K Vaco Technology is currently seeking a Senior Azure Engineer for a 6M C2H opportunity that is 100% remote. The Senior Azure Engineer will lead the design, implementation, and operations of secure, scalable cloud solutions on Azure. The Senior Azure Engineer will architect and build cloud infrastructure and platform services, modernize legacy workloads, and drive best practices for security, reliability, cost optimization, and automated delivery. The Senior Azure Engineer will work closely with product, security, enterprise architecture, and development teams to enable high-quality cloud services across the organization. Cloud Architecture / Delivery - Lead the Design / Delivery of Azure-Based Solutions Spanning Infrastructure / Networking / Security / Platform Services Azure Environment Design - Architect and Implement Cloud Environments Using Best Practices for Identity / Networking / Governance / Resiliency Infrastructure as Code (IaC) - Build and Maintain Repeatable Cloud Infrastructure Using Bicep / Terraform / ARM Templates CI/CD / Automation - Implement and Optimize CI/CD Pipelines for Cloud and Application Deployments Using Azure DevOps / GitHub Actions Azure Networking - Design and Manage VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN / ExpressRoute / Load Balancers / Application Gateway / WAF Security / Governance - Lead Security-First Implementations Leveraging Entra ID / RBAC / PIM / Key Vault / Managed Identities / MDC (Defender for Cloud) / Sentinel / Azure Policy Cloud Migration / Modernization - Support Rehost / Refactor / Re-Architect Initiatives Including Landing Zones / Subscription Design / Workload Onboarding Operations / Optimization - Monitor / Troubleshoot / Improve Production Environments for Performance / Availability / Cost Efficiency Standards / Reusability - Establish Reference Architectures / Standards / Reusable Modules to Accelerate Consistent Delivery Leadership / Mentorship - Mentor Engineers / Provide Technical Guidance / Conduct Peer Architecture and Code Reviews Documentation - Create and Maintain Technical Documentation / Runbooks / Architecture Diagrams About the Project: Our client (MSP) has just won a flagship, enterprise-wide support contract with a Fortune 200 client that has fully replaced its direct Microsoft support with their services. To deliver immediate white-glove support, they are building a dedicated 6-person Microsoft Engineering Team, including 2 D365 F&O Administrators, 2 Modern Workplace / M365 Generalists, 1 Power Platform Engineer, and 1 Azure Engineer. These are all is a high-visibility roles that demands strong technical depth, exceptional customer-facing communication, composure under pressure, and the ability to multitask across high-volume tickets. JOB REQUIREMENTS Senior Azure Cloud Engineer (6+ years) - Cloud / Infrastructure / Platform Engineering (hands-on) in a Production Environment Azure Compute Services (deep knowledge) - VMs / VMSS / App Service / AKS, etc. Azure Storage Services (strong understanding) - Blob / Files / Disk / Lifecycle Policies Azure Networking (advanced) - VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN Gateway / Azure Load Balancers / Application Gateway / WAD, etc. Azure Integration (advanced) - Functions / Logic Apps / API Management IAM (Identity / Access Management) - Entra ID / Azure AD / RBAC / PIM IaC (Infrastructure-as-Code) - Bicep / Terraform, etc. CI/CD Pipelines - Implementing CI/CD / Automated Release Patterns Observability Tools - Azure Monitor / Log Analytics / Application Insights Resiliency (familiarity) - High Availability / Disaster Recovery Design Incident Management - Troubleshooting (advanced) / Leading Incident Resolution / Root-Cause Analysis PREFERRED (not required) Certifications: AZ-104 / AZ-305 / AZ-400 / SC-100 / SC-200 FinOps / Cost Governance | Chargeback / Showback Models, etc. AKS / Container Platforms Data Services - Azure SQL / CosmosDB Azure Landing Zone Implementations - Designing / Operationalizing a Foundational / Multi-Subscription Environment Supporting Enterprise-Level Cloud Adoption at Scale Zero Trust / Regulated Environments Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

AI Engineer About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. Neudesic, an IBM Company, is a trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. We specialize in providing services and solutions that drive digital transformation, leveraging our expertise in cloud, data, and AI technologies. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, disciplined to the core, innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Position Overview: We are seeking a Mid-Level Modern AI Engineer to join our growing App Innovation practice. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on generative AI, agentic AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have a strong foundation in AI/ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment. Key Responsibilities: AI Solution Development & Deployment: Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel. Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications. Project Delivery & Client Engagement: Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives. Work in both project-based and staff augmentation roles, adapting to various client environments and requirements. Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions. Model Validation & Quality Assurance: Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance. Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness. Stay current with industry trends and best practices in AI technology, incorporating them into solution development. Preferred Consulting Experience: Collaborate with sales and delivery teams to design AI solutions that meet client needs. Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions. Conduct technical presentations and demonstrations to clients and stakeholders. Education & Experience: Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs. Experience in a consulting environment, engaging with clients and delivering tailored solutions. Technical Skills: Proficiency in programming languages such as Python or C#. Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex. Model selection, validation, and workload optimization. Knowledge of data processing and pipeline development using Azure Data Factory or similar tools. Understanding of MLOps practices and tools for model lifecycle management. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a dynamic, fast-paced environment. Preferred Qualifications: Microsoft Certified: Azure AI Engineer Associate or similar certifications. Experience with containerization and deployment tools such as Docker and Kubernetes. Familiarity with responsible AI principles and practices. Why Join Neudesic? Opportunity to work on cutting-edge AI projects across various industries. Collaborative and inclusive work environment that values innovation and continuous learning. Access to professional development resources and training programs. Competitive compensation and benefits package. For Colorado, the expected salary range for this position is between $100,000 and $165,000. The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Employment Opportunity Employer Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment. Key Responsibilities: Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration. Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy. Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning. Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services. Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks. Participate in developing agent governance and compliance frameworks aligned with enterprise standards. Translate business features and requirements into technical implementation tasks and contribute to solution design discussions. Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems. Required Qualifications: Degree in Computer Science, AI/ML, or related technical field. Hands-on experience in Generative AI and agentic AI development. 4-5 years of total experience in AI/ML engineering or applied machine learning. Experience building and deploying production AI/ML systems. Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts. Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services. Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen) Python and LLM integration, including MCP and A2A orchestration. Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub. Preferred Qualifications: Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards). Experience with multi-modal models and/or advanced optimization strategies. Contributions to open-source AI tooling or published applied work.

The Infrastructure team designs and develops high quality software to leverage embedded compute platforms for autonomy stack development. Most of the software we write will affect safety critical applications on the Motional vehicle platforms. We are a team of engineers who bring a broad experience in software development and leverage this to develop software which pushes the boundaries of what has been achieved in the autonomous vehicle safety space. We are looking for engineers who are motivated to solve hard problems and can lead development of complex safety-critical software components on embedded platforms. This is a remote role. What You'll Be Doing: Designing and developing infrastructure software on various hardware platforms for applications such as Vision Processing, Radar systems, Safety monitoring etc., to be run on self-driving vehicles Designing firmware components such as device drivers and kernel libraries Designing test harnesses for embedded software components as well as full systems Providing technical mentorship to engineers Proactively supports the team with engineering support in their product area. What We're Looking For: Experience with creating detailed requirements from use cases. Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution. Experience writing software for embedded platforms in C and C++. Experience with TDD - unit tests and integration tests. Experience working on embedded Linux / RTOSs. Experience working with networks (Ethernet, CAN etc.) and the common networking protocols. Experience with debugging on embedded platforms. Experience writing software in Python and experience doing automation with shell scripting. Experience working with ARM Cortex MCUs or Microprocessors Bonus Points (not required): Experience working with large data pipelines, and platforms that require deterministic execution. Experience using inter-system communication protocols such as I2C and SPI Experience deploying Machine Learning models. Experience working with FGPAs and GPUs. Experience working directly with the Linux kernel or Device Drivers. Experience working with RTOSs such as FreeRTOS, ThreadX or PreemptRT. Experience with Simulation and Code Generation, and knowing when their use is appropriate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$155,300-$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Join our San Jose, CA team, where cutting-edge innovation meets national security. As part of Redwire's recent acquisition of Hera Systems, this location focuses on advancing our capabilities in MEO, GEO, and hybrid space architectures, complementing our expertise in VLEO platforms. Together, we're unlocking new solutions to support the warfighter and address critical needs in National Security Space. Summary We are seeking a Contractor - Sr. Principal Embedded Software Engineer for an initial period of 6 months, with the possibility of extension to join our team. In this position you will be expected to work predominantly on-site at San Jose, CA. facility, The typical schedule will be 4 days a week in the office and 1 day a week remote work from home. You will work collaboratively with our team to develop and innovative satellite solutions. You will be responsible for hardware/software development during all phases of the development cycle, including requirements, design, implementation, test, integration, and documentation in a fast-paced environment. Responsibilities: * Work with software, hardware, and FPGA engineers to propose and develop software solution(s) to meet system specifications including performance requirements. * Work with the team to author / conduct software static and dynamic analysis. * Work with the team to draft and release relevant software documentation such as requirements specifications, design specifications, and design documents. * Effectively document software designs. * Design and implement software & hardware solutions and systems from requirements to production * Work in parallel with software and hardware engineers to develop and deliver complete embedded system solutions * Define system-level hardware and software interfaces * Write interface specifications for external sub-systems * Review hardware schematics and evaluate for software feasibility * Participate in hardware and software trades * Develop software test procedures and associated test suites for unit, system, and regression testing * Support integrated systems testing * Provide support and/or engineering of sensor I/O and data noise suppression requirements in digital systems * Attend project and subsystem engineering and management meetings when requested * Report design and production status weekly to project manager(s) * Communicate issues and concerns to team members and managers and support planning to resolve technical, schedule, safety and cost issues * The engineer will follow basic design standards provided by to ensure acceptable performance. Ideal Experience: * Bachelor's Degree in Computer Engineering, Electrical Engineering, Computer Science or related field, with 15 or more years (we will determine this) of experience building and shipping high reliability embedded systems using embedded Linux or RTOS (FreeRTOS preferred). * Minimally 10 years of solid RF experience. * Software development process experience using the Gitflow workflow model. * Experience with development tools including Atlassian and Jenkins automation. * Experience with operating systems fundamentals such as schedulers, network stack, file system & memory management. * Software architecture, memory mapping, caching, DMA and interrupts experience. * Highly experienced in C, C++, web applications, Ubuntu, RHEL and dotnet applications. * Some travel required. * Must be a US Citizen with the ability to obtain a security clearance. Desired Skills * Deep familiarity with Yocto development toolchain. * Experience with SoC/FPGA system design for hardware interfaces such as UART, SPI, I2C, CAN, Camera Sensor Interface (CSI) & Ethernet * User and proponent of Agile methods. * Experience with RTOS and/or Embedded Linux device drivers and bootloaders. * User and proponent of Agile methods. * Experience in aerospace software system design and implementation * Excellent communication skills.. Pay Range $100 - $125 per hr. How We Determine What We Pay (Compensation Philosophy) Redwire determines pay for positions using local, national, and industry-specific survey data, for our locations throughout the US. We will evaluate external equity and the cost of labor/prevailing wage index, in the relative marketplace for jobs directly comparable to jobs within our company. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay. Redwire is an Equal Opportunity Employer; employment with Redwire is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. All offers of employment at Redwire are contingent upon clear results of a thorough background check and your ability to provide proof of eligibility to work in the US. Note that some positions will also require US citizenship or ability to obtain a security clearance due to requirements of a classified program. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR Click Here

Senior Embedded Hardware Engineer will support our Product Enablement Team. We are looking for experienced Embedded Hardware Engineers to create our next generation of rugged Mil/Aero safety critical Single Board Computers (SBCs), Graphics Processing Modules (GPMs), and Compute Processing Modules (CPMs) to complement our world-renowned safety critical software solutions. Our hardware must be designed to meet the stringent safety critical standards required for civil and military aviation applications. Main Responsibilities: • Supporting development of rugged, embedded hardware solutions to Safety Critical standards • Supporting GPU screening and test development • Working collaboratively with PCB, mechanical, thermal and software disciplines • Supporting Sales on customer visits in support of new business opportunities • Hardware debugging • Working with Product Management to define next generation products • Management of Contract Printed Circuit Board Assembly Manufacturers to build hardware prototypes • Designing circuits and creating schematics • Leading or participating in design reviews • Writing, reviewing and executing test plans • Bringing up new hardware, working closely with Software Engineering • Creating hardware user manuals • Writing and reviewing technical specifications Required Skills: • Bachelor's or graduate degree in Electrical/Electronic/Computer Engineering or related field • 8-10 years of experience in embedded hardware development • Experience designing hardware for rugged Mil/Aero applications • Outstanding verbal and written communication is crucial • Strong organization and technical skills • Excellent analytical / problem solving skills • Ingrained sense of accountability and ownership • High attention to detail • Continuous drive for learning, pushing technical limits, and finding new solutions • A positive, collaborative attitude and willingness to go above and beyond Asset Skills: • 7+ years of experience designing with VME, VPX, XMC and similar form factors • Experience designing with NXP, Intel, AMD, ARM, Nvidia and similar CPUs and GPUs • Experience designing to a DO-254 development process • Experience specifying, designing and testing FPGAs and CPLDs • Experience using ALTIUM / Mentor schematic capture, signal integrity and layout design tools

About us: Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. Mythic's System Software (SYS-SW) team is seeking an embedded software engineer to help build the foundation of our AI hardware software stack. The SYS-SW team develops low-level software for Mythic's Analog Processing Unit and works closely with hardware design, compiler, validation, and manufacturing teams. This is a broad, hands-on role that spans chip architecture, hardware/software co-design, compiler technology, and neural network optimization. If you're excited about working at the intersection of AI, embedded systems, and low-level software, this position is for you. Location: Palo Alto-CA, Austin-Texas, Remote (must align with Pacific or Central U.S. working hours).What You'll Do Co-design next-generation compute accelerators with the hardware team Develop real-time firmware enabling neural networks with the compiler team Create firmware for boot, debug, and profiling support Build Linux kernel modules for low-latency, high-throughput data transfer Develop Linux libraries supporting inference frameworks Implement Linux utilities for secure boot management Optimize inference software for embedded platforms Develop test firmware and utilities for manufacturing and customer deployments What We're Looking For Strong background in bare-metal and RTOS firmware development 5+ years in embedded firmware, systems, or applications engineering on SoCs (experience with microcontrollers, DMA, secure boot, and serial peripherals) 5+ years programming in C; 1+ year in C++ Experience with ARM or RISC assembly 5+ years working with build tools (make, CMake, Bazel) 1+ year scripting in Python Familiarity with git or other version control systems 1+ year of hands-on silicon bring-up experience Nice to Have PCIe protocol or driver development experience MIPI-CSI2 protocol or driver development experience Experience writing customer-facing documentation Background in SDK or BSP development (e.g., Yocto) Understanding of parallel computing and/or compiler development Experience with code quality tools, RTL simulators, or FPGA emulation Knowledge of neural networks and machine learning Experience with tile-based architectures At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Work Authorization Status: U.S. Citizen About the Role We are seeking a Senior Embedded Software Engineer to join our team and contribute to the advancement of hardware security. In this role, you will develop, optimize, and secure embedded software, playing a crucial part in designing high-performance firmware solutions. Key Responsibilities Develop and optimize embedded software using C, C++, and Rust. Design and implement secure, high-performance firmware. Work on embedded Linux, RTOS, and various security protocols. Lead technical projects, ensuring compliance with industry standards. Mentor junior engineers and contribute to technical leadership. Qualifications & Requirements 5+ years of experience in embedded software engineering. Proficiency in C, C++, and Rust. Strong background in embedded Linux, RTOS, and hardware security. Experience with system architecture and security-focused development. Excellent problem-solving, leadership, and communication skills. Why Join Us? Work on cutting-edge embedded security solutions. Flexible, fully remote work environment. Opportunity to lead projects and mentor a growing team.

What we're doing isn't easy, but nothing worth doing ever is. We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven, venture-backed team as we build out current and future generations of humanoid robots. As a Sr/Staff Embedded Software Engineer, you'll be responsible for the low-level software that powers our robots' sensing, actuation, and compute platforms. You'll work across sensors, actuators, and power systems, developing firmware and drivers that integrate motors, IMUs, cameras, LIDARs, and other hardware into a cohesive robotics platform. This role spans from device firmware to operating system and driver development for primary and peripheral compute devices. This is a hands-on engineering role for someone who thrives on building real systems that bridge hardware and software. Responsibilities Design, implement, and maintain embedded software and firmware for sensors, actuators, power units, and communication devices. Develop device drivers, board support packages, and OS-level integration for primary and peripheral compute platforms. Work with a variety of sensors and actuators including motors, IMUs, cameras, LIDARs, depth sensors, and communication modules. Implement low-level control and communication protocols (e.g., SPI, I2C, CAN, UART, Ethernet, USB). Collaborate with robotics software, perception, and platform teams to integrate hardware drivers into the broader robotics stack. Optimize embedded code for performance, reliability, and power efficiency. Debug hardware/software interactions, including timing, synchronization, and electrical interface issues. Support bring-up and testing of new hardware platforms. Write and maintain documentation, test plans, and automated testing for embedded components. Stay current on emerging embedded platforms, sensors, and real-time operating systems relevant to robotics. Skills and Experience 5+ years of experience in embedded systems development (or equivalent with graduate work in robotics/embedded systems). Strong proficiency in C and C++ for embedded programming. Hands-on experience developing firmware and device drivers for sensors, actuators, and compute peripherals. Experience with real-time operating systems (RTOS) or Linux kernel/driver development. Familiarity with low-level communication protocols (SPI, I2C, CAN, UART, Ethernet, USB). Track record of shipping embedded software on robotics, autonomous systems, or other safety-critical hardware platforms. Ability to debug hardware/software issues using tools like oscilloscopes, logic analyzers, and protocol analyzers.

What you will be doing: Lead and mentor a small team of embedded engineers on best practices and technical know-how. Scheduling customer deliverables, managing team priorities, identifying resource gaps. Collaborate with the customer and internal teams to always enhance the overall project experience. Developing technical proposals to help customers make technical decisions. Working closely with the team to ensure the project deadlines are met and risks/issues are proactively identified and communicated to the customer. Ensure high quality of our deliverables. Contribute to the overall product design to help customers through various aspects of their product lifecycle. Be an embedded expert (kernel, CPU-architecture, general device-drivers, performance optimization, user-space) in the customer engineering team and enable customers in doing their embedded SW development. Be the system-SW generalist and take-up any technical challenge and resolve it through the right solution. Proactively notify Sales team of potential change order and drive it to completion as required on per-project basis. Perform additional job duties as assigned. What we need to see: 5+ years of experience building and shipping embedded systems using RTOS or Linux. 2+ years of experience leading software development teams. Experience delivering DO-178C capabilities and certifications, or similar such as ISO26262. Good breadth of technical knowledge (SoC, Linux SW, Tools, Applications, embedded security). Proficiency in C, Git, and Yocto/OpenEmbedded. Familiarity with security features such as verified boot and trusted execution environments. Experience with root cause analysis, and advanced troubleshooting at kernel-level. Ability to track and work on multiple projects simultaneously while meeting schedules. Demonstrated experience of leading software projects while providing technical inputs to unblock supporting teams. Keen sense of urgency and drive for results. Ability to work independently with minimal oversight. Over and above, a deep commitment to your own quality work and a strong desire to help the entire team to succeed. Ways to stand out from the crowd: Experience with Linux device drivers and bootloaders is a strong plus. Scripting and automation experience with Python, bash or similar languages is a strong plus. Experience working with open source communities to fix bugs, add features is a plus. Experience migrating drivers from one version of the Linux kernel to another is a plus. Sound Exciting? Get in touch today! We have very robust benefits including: Low-cost Medical / Dental / Vision coverage options 401K with generous employer match Responsible Paid Time Off + 11 Paid Holidays Remote work opportunities based on role Employee Assistance Program (EAP) Career growth and professional development opportunities All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Job DescriptionDescription Did your things make you go "wow" today? We're dedicated to improving lives by making the everyday objects around us more useful, and with our open platform the opportunities are endless. We believe that the Internet of Things should be accessible to everyone, and we strive to create easy-to-use, secure, and, above all, intelligent devices that take your home to the next level. Our fun, creative, supportive team needs your help to make things that are a little more connected -- and a lot smarter. We're looking for an Embedded Software Engineer who'll be responsible for the development of software for the adoption and integration of smart home networking technologies for the SmartThings Hub platform. You'll be part of the SmartThings Edge Device team responsible for the integration of smart home and networking protocols such as Matter, Thread, Zigbee, and Z-Wave with the SmartThings ecosystem as well as designing and building innovative features for smart homes. You will be part of the team focused on adopting, developing, and supporting Thread, Zigbee, and Z-Wave within the SmartThings Hub Platform. You will be involved in the full software development lifecycle from proof-of-concept to shipping products on a project of enormous scale and potential. The majority of the development work will be application and test code in C/C++/Rust, but there will be opportunities to work on frameworks that span cloud and mobile. You will debug and fix issues discovered internally, reported by external beta testers and regular users. This is a great opportunity to be part of the exciting smart home industry while working with a group of highly talented and quality-focused engineers. Key Responsibilities Design, develop and debug application code in C/C++/Rust Participate in technical discussions across engineering and product Participate in cross-functional design discussions and code reviews Skills Knowledge and Expertise Bachelor's degree in Electrical / Computer Engineering or Computer Science or similar experience Experience using C/C++ and/or other Object Oriented programming languages Willingness to learn Rust Exposure or knowledge of source control such as Git. Strong interpersonal communication skills and ability to work well in a diverse, team-focused environment Preferred Qualifications Passionate about gadgets, IoT, and smart devices Experience with modern IP networking Basic understanding of Mesh networking technologies like WiFi, BLE, ZigBee, Thread, Z-Wave. Experience at writing embedded C/C++/Rust and familiarity with an embedded Linux Environment