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Added 20 mins ago
Pop-Up & Email Marketing R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
CWILL
Remote, United States
…from idea to release, across frontend, backend, database and deployment, using AI as part of everyday…
Added 20 mins ago
C-
Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 1 hour ago
Software Engineer, Infrastructure & Reliability
CrewAI
Remote, United States
…hyperscalers - AWS, Azure, and GCP. You’ll work on containers, CI/CD, deployment automation, observability, secrets, networking, and runtime reliability. Your job is to make the product and…
Added 1 hour ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 1 hour ago
C
Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices,…
Added 1 hour ago
C
Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 1 hour ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 1 hour ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Credence is seeking an entry/junior-level Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. You will join an established platform team,…
Added 2 hours ago
C
Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
- $120,000 to $140,000 USD / year
As a Solutions Engineer at Coursedog, you’ll lead the demos, scoping, and CX calls that align customers, Sales, and Customer Success before a deal is booked. You’ll work closely with…
Added 3 hours ago
Senior Payments Infrastructure Engineer - Crypto, Wallets & Blockchain
Travoom
Remote, United States
We are seeking a hands-on Senior Payments Infrastructure Engineer to take ownership of an existing payments backend and complete its integration, testing, and production deployment.
Added 3 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
OleOle is seeking an exceptional, hands-on Principal AI Architect to lead the architecture, development, deployment, and ongoing evolution of artificial intelligence initiatives across our…
Added 3 hours ago
Agentic Context Engineer
Wisdom AI
Remote, United States
The Role: As an Agentic Context Engineer at WisdomAI, you will work within a Field Engineering team to guide customers from early solution shaping through scaled deployment. You will help…
Added 3 hours ago
S
Senior Full Stack Ruby on Rails Engineer
SmartFinancial
Remote, United States
- $150,000 to $170,000 USD / year
We’re seeking an experienced Senior Full Stack Ruby on Rails Engineer to help build, evolve, and scale the core systems that power our agent-facing, carrier-facing, and internal…
Added 3 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
…cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and…
Added 8 hours ago
Systems Engineer
Celtic Bank
Remote, United States
The Systems Patch Engineer will design, implement, and maintain reliable patch deployment processes; administer Tanium policies and deployment rings; remediate vulnerabilities; and help…
Added 8 hours ago
Security Engineer
Celtic Bank
Remote, United States
Celtic Bank is seeking a skilled Security Engineer to help protect the Bank’s systems, data, and technology environment. This role is responsible for identifying, reducing, and continuously…
Added 8 hours ago
RF Design Engineer
CED Systems
Remote, United States
As an In-Building RF Engineer, you will help shape wireless performance inside complex indoor spaces where coverage, capacity, and user experience matter most. This role focuses on…
Added 9 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Document reusable deployment patterns and share recurring customer needs with Product and Engineering.
Added 9 hours ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 10 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 10 hours ago
Forward Deployed Engineer
Clera
Remote, United States
…technical proofs of value from discovery through production…
Added 11 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 11 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 11 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 11 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…

Closed listing

Jobgether

System Software / Embedded Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

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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