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Stelvio Inc.
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  • API Software Engineer  

    - Maricopa County
    API Software Engineer Hybrid - 2-3 days on site Phoenix, Arizona Join... Read More
    API Software Engineer Hybrid - 2-3 days on site Phoenix, Arizona Join a technology-focused organization building real-time solutions that keep commercial fleets moving safely and efficiently. Our work impacts highways across the nation, and we’re looking for bold thinkers who want to build scalable, cloud-native systems that matter. The Role We’re seeking an API Software Engineer with experience in SOA and Microsoft Azure. You’ll design and build distributed .NET services, contribute to cloud architecture, and collaborate with cross-functional teams to deliver high-quality, maintainable solutions. What You’ll Do Develop and maintain .NET APIs and services (C#) Contribute to service-oriented and event-driven architecture Build cloud-native solutions using Azure (Functions, Service Bus, API Management, Event Grid, App Services, Key Vault) Support CI/CD pipeline development with Azure DevOps Participate in code reviews and work closely with product and engineering teams What You Bring 3–5 years of .NET (C#) development experience Experience with SOA, SQL Server/Cosmos DB, REST APIs, and distributed systems Hands-on Azure experience (PaaS services) Familiarity with CI/CD, Agile, and core engineering principles Bonus: IaC (Terraform/Bicep), AKS, DDD/CQRS, NServiceBus/RabbitMQ, Azure certifications, observability tools. Who You Are Proactive, collaborative, comfortable with ambiguity, and committed to clean, scalable engineering. Strong communicator with a high sense of ownership. Benefits Medical, dental, vision (day one), PTO, holidays, 401(k) match, lifestyle account, tuition reimbursement, voluntary benefits, EAP, employee well-being programs, and professional development opportunities. Read Less
  • AI Systems Engineer (Alexandria)  

    AI Systems Engineer Hybrid Alexandria, VA Active or Eligible U.S. Secu... Read More
    AI Systems Engineer Hybrid Alexandria, VA Active or Eligible U.S. Security Clearance Required About the Role Were looking for an AI Systems Engineer to support Public Sector initiatives by building secure, distributed, and high-performance AI systems. Youll turn research models into production-ready solutions that run across cloud, edge, and constrained environmentsoptimizing everything from model performance to low-level GPU acceleration. What Youll Do Convert prototype models into scalable, robust AI systems. Optimize models using PyTorch, TensorFlow, or Hugging Face. Apply quantization, pruning, distillation, and hardware acceleration. Build LoRA/PEFT workflows and on-device inference pipelines. Develop RAG systems integrated with vector databases (FAISS, Milvus, Pinecone). Support multimodal (text/vision/audio) model deployments. Generate synthetic data using GANs or diffusion models. Write performance-critical code in C/C++/Rust with GPU optimization. Engineer for distributed, edge, and offline environments. Collaborate with Infrastructure, MLOps, and Security teams. What You Bring Active or eligible U.S. security clearance. 5+ years in applied AI, ML engineering, or AI systems development. Strong experience with major ML frameworks and cloud/edge deployment. Expertise in model compression, GPU computing, and CUDA. Experience with RAG pipelines, vector databases, multimodal systems, and synthetic data. Strong C/C++/Rust and systems-level programming skills. Solid algorithmic and distributed-systems problem-solving ability. Preferred Experience with edge AI, federated learning, or offline inference. Familiarity with distributed training (DeepSpeed, Ray). Knowledge of public-sector AI governance and compliant architectures. Strong communication and documentation skills. Read Less
  • Senior System Engineer Infrastructure Engineering (Frisco)  

    - Collin County
    Senior System Engineer Infrastructure Engineering Frisco, Texas Job De... Read More
    Senior System Engineer Infrastructure Engineering Frisco, Texas Job Description Overview My Client is looking for highly skilled Senior System Engineer to join their Infrastructure Engineering team. This role is key to designing, implementing, and maintaining their enterprise IT infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate is a proactive problem solver, experienced in Linux administration, virtualization, cloud platforms, automation, and DevOps practices. Responsibilities What Youll Do: Architect, deploy, and maintain complex cloud (GCP, OCI, AWS) and on-premises systems. Manage Linux environments (RHEL, Ubuntu, CentOS) across production, development, and test environments. Configure and manage virtualized environments (VMware vSphere) and server hardware (Dell, SuperMicro). Build and maintain containerized platforms (Docker, Kubernetes), including cluster setup and orchestration. Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Monitor system performance, troubleshoot issues, and optimize availability using Prometheus, Grafana, Zenoss, and Loki. Ensure compliance with security best practices, backup processes (Commvault), and disaster recovery plans. Support CI/CD pipelines for application and infrastructure deployments (Jenkins, GitHub Actions, GitLab CI). Mentor junior engineers and contribute to cross-team knowledge sharing. Maintain comprehensive system documentation, architecture diagrams, and operational procedures. Other responsibilities as assigned. Qualifications What Were Looking For Basic Qualifications: Bachelors degree in Computer Science, IT, or equivalent experience. 58 years of experience in system engineering, cloud infrastructure, and Linux administration. Expert-level Linux administration (RHEL, Ubuntu, CentOS). Experience with VMware virtualization and hardware management. Proficiency with Docker, Kubernetes, and container orchestration. Knowledge of cloud platforms (GCP, OCI, AWS) and networking concepts (DNS, DHCP, VPN, firewalls). Familiarity with monitoring tools (Prometheus, Grafana, Zenoss) and backup solutions (Commvault). Experience with automation/configuration management tools (Ansible, Terraform, CloudFormation). Strong understanding of security best practices, encryption, and TLS/SSL certificate management. Preferred Qualifications: Certifications in Linux, Cloud (GCP, OCI, AWS), or Kubernetes (CKA/CKAD). Experience with CI/CD pipelines, container security, credential management (FreeIPA, Active Directory). Knowledge of S3-compatible storage solutions (MinIO) and working in air-gapped environments. Core Competencies: Strong problem-solving and analytical skills. Excellent communication skills; able to convey technical concepts to non-technical teams. Collaborative, self-motivated, and process improvement-oriented. Able to mentor junior team members and share knowledge. Work Environment Read Less
  • Senior Machine Learning Product Architect  

    - San Diego County
    Senior Machine Learning Product Architect Location: San Diego, CA (Hyb... Read More
    Senior Machine Learning Product Architect Location: San Diego, CA (Hybrid) We’re seeking a Senior Machine Learning Product Architect to lead the architectural vision for AI, ML, and GenAI capabilities across a large-scale technology platform. This role operates at the intersection of product strategy and technical design, shaping how intelligent systems are conceived, built, and scaled. You’ll collaborate closely with engineering, product, and domain experts to deliver high-impact, production-ready AI solutions. Responsibilities Architect scalable ML and GenAI systems spanning training, inference, workflow automation, and production integration. Translate business objectives into AI-driven solutions in partnership with product leaders. Balance enterprise-grade standards with forward-looking, fit-for-purpose architectures. Lead strategic solution design while providing deep technical insight and mentorship when needed. Create architectural references, reusable patterns, and best practices. Drive MLOps and GenAI infrastructure initiatives, including model versioning, monitoring, and CI/CD pipelines. Collaborate with data scientists and ML engineers on diverse model workflows (ML, DL, GenAI, multi-modal). Champion AI/ML adoption and serve as a trusted technical advisor across the organization. Assess emerging technologies and propose scalable, sustainable solutions. Support governance, compliance, and security initiatives for responsible AI use. Optimize AI workloads for reliability, performance, and cost efficiency. Qualifications Bachelor’s or Master’s in Computer Science, AI/ML, or a related field. 8+ years of experience building and deploying production-grade AI/ML systems. Proven track record scaling ML and GenAI architectures from concept to production. Strong knowledge of ML algorithms, LLMs, embeddings, RAG, and GenAI pipelines. Proficiency in Python. Strong understanding of software architecture principles and design patterns. Excellent communication skills and ability to engage diverse stakeholders. Cloud or ML/GenAI certifications (preferred). Portfolio showcasing impactful AI/ML deployments. Read Less
  • API Software Engineer (Phoenix)  

    - Maricopa County
    API Software Engineer Hybrid - 2-3 days on site Phoenix, Arizona Join... Read More
    API Software Engineer Hybrid - 2-3 days on site Phoenix, Arizona Join a technology-focused organization building real-time solutions that keep commercial fleets moving safely and efficiently. Our work impacts highways across the nation, and were looking for bold thinkers who want to build scalable, cloud-native systems that matter. The Role Were seeking an API Software Engineer with experience in SOA and Microsoft Azure. Youll design and build distributed .NET services, contribute to cloud architecture, and collaborate with cross-functional teams to deliver high-quality, maintainable solutions. What Youll Do Develop and maintain .NET APIs and services (C#) Contribute to service-oriented and event-driven architecture Build cloud-native solutions using Azure (Functions, Service Bus, API Management, Event Grid, App Services, Key Vault) Support CI/CD pipeline development with Azure DevOps Participate in code reviews and work closely with product and engineering teams What You Bring 35 years of .NET (C#) development experience Experience with SOA, SQL Server/Cosmos DB, REST APIs, and distributed systems Hands-on Azure experience (PaaS services) Familiarity with CI/CD, Agile, and core engineering principles Bonus: IaC (Terraform/Bicep), AKS, DDD/CQRS, NServiceBus/RabbitMQ, Azure certifications, observability tools. Who You Are Proactive, collaborative, comfortable with ambiguity, and committed to clean, scalable engineering. Strong communicator with a high sense of ownership. Benefits Medical, dental, vision (day one), PTO, holidays, 401(k) match, lifestyle account, tuition reimbursement, voluntary benefits, EAP, employee well-being programs, and professional development opportunities. Read Less
  • Senior System Engineer – Infrastructure Engineering Frisco, Texas Job... Read More
    Senior System Engineer – Infrastructure Engineering Frisco, Texas Job Description Overview My Client is looking for highly skilled Senior System Engineer to join their Infrastructure Engineering team. This role is key to designing, implementing, and maintaining their enterprise IT infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate is a proactive problem solver, experienced in Linux administration, virtualization, cloud platforms, automation, and DevOps practices. Responsibilities What You’ll Do: Architect, deploy, and maintain complex cloud (GCP, OCI, AWS) and on-premises systems. Manage Linux environments (RHEL, Ubuntu, CentOS) across production, development, and test environments. Configure and manage virtualized environments (VMware vSphere) and server hardware (Dell, SuperMicro). Build and maintain containerized platforms (Docker, Kubernetes), including cluster setup and orchestration. Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Monitor system performance, troubleshoot issues, and optimize availability using Prometheus, Grafana, Zenoss, and Loki. Ensure compliance with security best practices, backup processes (Commvault), and disaster recovery plans. Support CI/CD pipelines for application and infrastructure deployments (Jenkins, GitHub Actions, GitLab CI). Mentor junior engineers and contribute to cross-team knowledge sharing. Maintain comprehensive system documentation, architecture diagrams, and operational procedures. Other responsibilities as assigned. Qualifications What We’re Looking For Basic Qualifications: Bachelor’s degree in Computer Science, IT, or equivalent experience. 5–8 years of experience in system engineering, cloud infrastructure, and Linux administration. Expert-level Linux administration (RHEL, Ubuntu, CentOS). Experience with VMware virtualization and hardware management. Proficiency with Docker, Kubernetes, and container orchestration. Knowledge of cloud platforms (GCP, OCI, AWS) and networking concepts (DNS, DHCP, VPN, firewalls). Familiarity with monitoring tools (Prometheus, Grafana, Zenoss) and backup solutions (Commvault). Experience with automation/configuration management tools (Ansible, Terraform, CloudFormation). Strong understanding of security best practices, encryption, and TLS/SSL certificate management. Preferred Qualifications: Certifications in Linux, Cloud (GCP, OCI, AWS), or Kubernetes (CKA/CKAD). Experience with CI/CD pipelines, container security, credential management (FreeIPA, Active Directory). Knowledge of S3-compatible storage solutions (MinIO) and working in air-gapped environments. Core Competencies: Strong problem-solving and analytical skills. Excellent communication skills; able to convey technical concepts to non-technical teams. Collaborative, self-motivated, and process improvement-oriented. Able to mentor junior team members and share knowledge. Work Environment Read Less
  • AI Systems Engineer  

    AI Systems Engineer Hybrid – Alexandria, VA Active or Eligible U.S. Se... Read More
    AI Systems Engineer Hybrid – Alexandria, VA Active or Eligible U.S. Security Clearance Required About the Role We’re looking for an AI Systems Engineer to support Public Sector initiatives by building secure, distributed, and high-performance AI systems. You’ll turn research models into production-ready solutions that run across cloud, edge, and constrained environments—optimizing everything from model performance to low-level GPU acceleration. What You’ll Do Convert prototype models into scalable, robust AI systems. Optimize models using PyTorch, TensorFlow, or Hugging Face. Apply quantization, pruning, distillation, and hardware acceleration. Build LoRA/PEFT workflows and on-device inference pipelines. Develop RAG systems integrated with vector databases (FAISS, Milvus, Pinecone). Support multimodal (text/vision/audio) model deployments. Generate synthetic data using GANs or diffusion models. Write performance-critical code in C/C++/Rust with GPU optimization. Engineer for distributed, edge, and offline environments. Collaborate with Infrastructure, MLOps, and Security teams. What You Bring Active or eligible U.S. security clearance. 5+ years in applied AI, ML engineering, or AI systems development. Strong experience with major ML frameworks and cloud/edge deployment. Expertise in model compression, GPU computing, and CUDA. Experience with RAG pipelines, vector databases, multimodal systems, and synthetic data. Strong C/C++/Rust and systems-level programming skills. Solid algorithmic and distributed-systems problem-solving ability. Preferred Experience with edge AI, federated learning, or offline inference. Familiarity with distributed training (DeepSpeed, Ray). Knowledge of public-sector AI governance and compliant architectures. Strong communication and documentation skills. Read Less
  • Senior Machine Learning Product Architect (San Diego)  

    - San Diego County
    Senior Machine Learning Product Architect Location: San Diego, CA (Hyb... Read More
    Senior Machine Learning Product Architect Location: San Diego, CA (Hybrid) Were seeking a Senior Machine Learning Product Architect to lead the architectural vision for AI, ML, and GenAI capabilities across a large-scale technology platform. This role operates at the intersection of product strategy and technical design, shaping how intelligent systems are conceived, built, and scaled. Youll collaborate closely with engineering, product, and domain experts to deliver high-impact, production-ready AI solutions. Responsibilities Architect scalable ML and GenAI systems spanning training, inference, workflow automation, and production integration. Translate business objectives into AI-driven solutions in partnership with product leaders. Balance enterprise-grade standards with forward-looking, fit-for-purpose architectures. Lead strategic solution design while providing deep technical insight and mentorship when needed. Create architectural references, reusable patterns, and best practices. Drive MLOps and GenAI infrastructure initiatives, including model versioning, monitoring, and CI/CD pipelines. Collaborate with data scientists and ML engineers on diverse model workflows (ML, DL, GenAI, multi-modal). Champion AI/ML adoption and serve as a trusted technical advisor across the organization. Assess emerging technologies and propose scalable, sustainable solutions. Support governance, compliance, and security initiatives for responsible AI use. Optimize AI workloads for reliability, performance, and cost efficiency. Qualifications Bachelors or Masters in Computer Science, AI/ML, or a related field. 8+ years of experience building and deploying production-grade AI/ML systems. Proven track record scaling ML and GenAI architectures from concept to production. Strong knowledge of ML algorithms, LLMs, embeddings, RAG, and GenAI pipelines. Proficiency in Python. Strong understanding of software architecture principles and design patterns. Excellent communication skills and ability to engage diverse stakeholders. Cloud or ML/GenAI certifications (preferred). Portfolio showcasing impactful AI/ML deployments. Read Less
  • Senior IC Design Lead  

    IC Design Lead Location: Colorado Springs, CO – On-site Must be legall... Read More
    IC Design Lead Location: Colorado Springs, CO – On-site Must be legally authorized to work in the U.S. (no visa sponsorship). Drive innovation at the cutting edge of semiconductor technology! We’re seeking an IC Design Lead to take complex integrated circuits from concept to production, leading a talented team and collaborating across disciplines in sensing, imaging, signal processing, and advanced systems. What You’ll Do: Lead IC projects end-to-end, from planning to tape-out. Manage a local team of 4–5 engineers and coordinate with global partners. Guide architecture, integration, and system-level design decisions. Ensure high-quality results while mitigating risks and solving complex challenges. What You Bring: Master’s in EE, Optical Engineering, Physics, or related field. 7+ years in IC design with leadership experience. Strong CMOS IC expertise (digital, memory, MCU, mixed-domain). Proven track record with tape-outs and embedded-system products. Preferred: Experience with consumer products, Cadence tools, Matlab/Python/LabView, low-power designs. Why Join Us: Lead impactful IC programs, shape next-gen semiconductor tech, and see your designs come to life. Read Less
  • Senior Fullstack Software Engineer  

    - Los Angeles County
    Senior Fullstack Software Engineer Location: Santa Monica, CA – On Sit... Read More
    Senior Fullstack Software Engineer Location: Santa Monica, CA – On Site We are seeking a talented C++ engineer with full stack experience who is passionate about building impactful software solutions. What You’ll Do: Build and maintain core C++ components for the client’s systems. Design and implement features across multiple programming languages and platforms. Collaborate with cross-functional teams to optimize systems and deliver scalable solutions. Contribute to code quality, testing, and system reliability. What We’re Looking For: 5+ years of C++ development experience, with 3+ years in full stack development. Strong Linux skills, object-oriented design expertise, and solid understanding of the software lifecycle. Self-motivated, excellent communicator, and a quick learner. Benefits: Competitive compensation and benefits. Read Less

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