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Added 40 mins ago
Executive Administrative Assistant
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Staff Software Engineer, Customer Services Edge, Google Global Infrastructure
Google
Sunnyvale, CA
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 1 hour ago
Intern - AI Engineer Platform
Micron Technology, Inc.
Boise, ID
…Kubernetes, Infrastructure as Code (Terraform), AI platforms, Generative AI, and Agentic AI…
Added 1 hour ago
Senior Software Engineer, AI/ML, Youtube Ads Creative Optimization
YouTube
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Experienced R&D SE, Electrical Engineer - Model-Based Design, Onsite
Sandia National Laboratories
Albuquerque, NM
Evaluate incorporation of the latest AI (generative as well as traditional Machine and Deep Learning (ML/DL) capabilities into MATLAB & Simulink environments and train models for virtual…
Added 1 hour ago
Early Career R&D S&E, Aerospace Engineer - Model Based Design, Onsite
Sandia National Laboratories
Albuquerque, NM
We are seeking a motivated R&D S&E Aerospace Engineer with modeling/simulation experience to work with our Model-Based Design team. Model-Based Design integrates reduced-order physics…
Added 2 hours ago
Sr AI Engineer
T-Mobile USA, Inc.
Bellevue, WA · Frisco, TX
Engineer the intelligent core of T-Mobile’s next-generation customer experience.
Added 2 hours ago
Senior Software Engineer
FREEDOM SOLUTIONS GR
Denver, CO
As a Senior Software Engineer on the Generative AI Innovation team, you’ll lead teams made up primarily of coding agents to build GenAI features and agents for Litera’s market products and…
Added 2 hours ago
Senior Software Engineer
FREEDOM SOLUTIONS GR
Denver, CO
As a Senior Software Engineer on the Generative AI Innovation team, you’ll lead teams made up primarily of coding agents to build GenAI features and agents for Litera’s market products and…
Added 2 hours ago
Senior Software Engineer
FREEDOM SOLUTIONS GR
Denver, CO
As a Senior Software Engineer on the Generative AI Innovation team, you’ll lead teams made up primarily of coding agents to build GenAI features and agents for Litera’s market products and…
Added 4 hours ago
ML Ops DSX Senior Engineer
NVIDIA USA
CA · WA
NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will deliver hands-on…
Added 4 hours ago
System Software / Embedded Engineer
Jobgether
Remote, United States
The System Software / Embedded Engineer will develop and optimize low-level software powering next-generation AI inference platforms. This role sits at the intersection of hardware,…
Added 4 hours ago
Staff Machine Learning Engineer, Compliance Automation (Platform)
Coinbase
Remote, United States
As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you'll build the AI systems that are reimagining how Coinbase executes compliance…
Added 4 hours ago
J
Staff Software Engineer, Data
Jobgether
Remote, United States
- $175,500 to $230,000 USD / year
We are looking for an experienced data engineer to own and evolve a comprehensive data platform supporting business operations and advanced AI research. In this hands-on role, you will…
Added 5 hours ago
Data Architect
TISTA Science and Technology Corporation
Remote-United States
Databricks Certified Data Engineer; Databricks Certified Generative AI Engineer.
Added 5 hours ago
Full Stack Engineer, Agentic AI
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full Stack Engineer, Agentic AI based in United States.
Added 6 hours ago
Vice President, Digital Engineering Health100
CVS Health
Remote, United States
Leading AI Solutions engineering for Health100 - building and scaling Generative AI and agentic capabilities (conversational assistants, intelligent workflow automation) designed to be…
Added 6 hours ago
Senior Consulting Manager, AI-Led Mainframe Modernization
Cognizant
Concord, NH
…mainframe modernization programs using cloud-native technologies, generative AI, and AI-enabled engineering…
Added 6 hours ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Concord, NH
- $100,000 USD / year
As a Frontier Engineer (AI/Agentic), you will make an impact by helping build scalable, cost-optimized, and secure AI-enabled solutions that reimagine business processes and deliver…
Added 6 hours ago
Consulting Principal, AI-Led Mainframe Modernization
Cognizant
Concord, NH
…leading complex mainframe transformation engagements and applying generative AI and AI-enabled engineering capabilities to accelerate modernization from discovery through cloud migration…
Added 6 hours ago
Lead Escalation Engineer (San Jose, CA)
Hewlett Packard Enterprise
San Jose, CA
HPE Networking is seeking a Lead Escalation Engineer in our San Jose, California office who thrives in challenging, high-impact and fast-paced technical environments. The focus of this…
Added 7 hours ago
GE Vernova AI Engineer
GE Vernova
Greenville, SC
As an entry-level AI Engineer, you will help design, build, integrate and operate AI-enabled applications for engineering and industrial use cases. You will work across software, machine…
Added 8 hours ago
Post-Incident Reviews (PIR) & Service Health Program Engineer, Infrastructure Services
Apple
Elk Grove, CA
We are seeking a Post-Incident Reviews (PIR) & Service Health Program Engineer to help coordinate and drive our PIR lifecycle, remediation tracking, and service health governance across…
Added 8 hours ago
Principal Software Engineer (Health100 Platform)
CVS Health
Remote, United States
As a Principal Software Engineer for Health100, you will set the technical direction for cloud-native, event-driven platforms and services. You'll partner with product and architecture…
Added 8 hours ago
Principal AI Platform Engineer - Onsite
Cognizant
San Leandro, CA
We are seeking a Principal AI Platform Engineer to design and deliver enterprise-scale AI and cloud platform solutions. This is a highly hands-on technical leadership role combining Applied…

Jobgether

System Software / Embedded Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a System Software / Embedded Engineer based in the United States.

The System Software / Embedded Engineer will develop and optimize low-level software powering next-generation AI inference platforms. This role sits at the intersection of hardware, silicon, firmware, and systems engineering, contributing to high-performance, energy-efficient infrastructure for multimodal generative AI. You will design system-level services, development tools, and testing capabilities while supporting hardware bring-up and platform validation. Working closely with hardware, silicon, and validation teams, you will help ensure robust, production-ready software for demanding data center environments. Your work will also focus on debugging, profiling, and optimizing system performance and power consumption. This is an opportunity to contribute to cutting-edge AI infrastructure within a fast-paced, collaborative engineering environment based in Sunnyvale, California, with flexibility for remote collaboration across North America and Europe.

Accountabilities:

As a System Software / Embedded Engineer, you will contribute to the design, development, validation, and optimization of platform software for advanced AI inference systems. Your responsibilities will include:

• Develop system-level software: Gather requirements, design, implement, and maintain low-level services, tools, and supporting tests for AI inference platform software.

• Build and debug embedded systems: Work on firmware, board bring-up, bootloaders, board support packages (BSPs), device drivers, and Linux kernel modules.

• Support hardware and silicon bring-up: Collaborate with hardware, silicon, and validation teams to bring up, debug, and validate platform software on AI inference systems.

• Enable hardware/software co-design: Work directly with hardware and silicon engineers to troubleshoot integration challenges and ensure software and hardware components operate reliably together.

• Develop debugging and profiling capabilities: Create and improve tools for system analysis, diagnostics, performance profiling, and root-cause investigation.

• Optimize performance and power consumption: Analyze system behavior and implement improvements to maximize inference platform efficiency, responsiveness, and reliability.

• Work with low-level hardware interfaces: Debug and integrate components using interfaces and protocols such as PCIe, I2C, SPI, and JTAG.

• Ensure production-quality delivery: Develop robust, maintainable software and comprehensive tests that support platform validation and deployment in data center environments.

• Collaborate across engineering disciplines: Coordinate with software, hardware, silicon, and validation teams to resolve technical issues and deliver platform milestones.

• Support external engineering activities: Travel occasionally to partner, customer, or contract manufacturing sites when required; travel is not mandatory.

Requirements:

The ideal candidate combines strong embedded software engineering expertise with hands-on hardware debugging experience and the ability to work effectively across multiple engineering disciplines. Key qualifications include:

• Professional experience: At least 5 years of experience developing low-level systems software, embedded software, firmware, and engineering tools for high-performance computing systems deployed to data center customers.

• Linux and embedded systems: Practical experience bringing up and debugging complex Linux-based systems at the kernel and driver levels, including embedded Linux, device drivers, and/or real-time operating system (RTOS) environments.

• Silicon and SoC experience: Experience with system-on-chip or silicon bring-up is highly desirable.

• Programming expertise: Advanced proficiency in C and C++, along with working proficiency in Python, Bash/Shell, or related scripting languages. Rust experience is an advantage.

• Hardware debugging: Comfort working directly with hardware, interpreting schematics and datasheets, and troubleshooting with tools such as JTAG debuggers, logic analyzers, and oscilloscopes.

• Hardware interfaces: Familiarity with low-level interfaces and protocols such as PCIe, I2C, SPI, and JTAG.

• AI and data center environments: Familiarity with AI inference frameworks and data center deployment or management environments is preferred.

• Education: A bachelor's or master's degree in Electrical Engineering, Computer Science, or a related technical discipline.

• Cross-functional collaboration: Ability to work effectively with hardware, silicon, validation, and software teams to solve complex integration problems.

• Communication skills: Excellent technical communication skills, including the ability to explain complex concepts, debugging findings, and proposed solutions clearly.

• Adaptability and ownership: A self-motivated, adaptable approach to problem-solving, with the ability to take ownership of technical challenges and deliver results in a fast-paced startup environment.

• Commitment to engineering excellence: Strong attention to quality, integrity, continuous improvement, and collaborative problem-solving.

Benefits:

• Competitive compensation: A competitive compensation package.

• Comprehensive benefits: Benefits designed to support employees and their families.

• Flexible spending options: Flexible spending benefits to support individual needs.

• Employee recognition: Recognition programs that acknowledge contributions and achievements.

• Collaborative environment: The opportunity to work with talented engineers across software, hardware, and silicon disciplines.

• Innovative technical work: The opportunity to contribute to high-performance, low-power AI inference systems and emerging generative AI technologies.

• Flexible collaboration: A distributed working environment with team members across North America and Europe.

• Professional growth: Opportunities to tackle complex engineering challenges and contribute to ambitious technology development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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