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Remote Embedded Software Jobs in Buffalo, NY (NOW HIRING)

M&T Bank

Senior Software Engineer - Mainframe

Buffalo, NY · Remote

$118K - $156K/yr

Software Engineering Excellence * Deliver secure, efficient, maintainable, and resilient code using enterprise mainframe technologies. * Lead mainframe design, troubleshooting, performance tuning ...

Xplor

Account Executive

Buffalo, NY · On-site +1

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Xplor

Account Executive

Buffalo, NY · On-site +1

$100K/yr

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

All JobsEmbedded Software JobsRemote Embedded Software JobsRemote Embedded Software Jobs in Buffalo, NY

Remote Embedded Software information

See Buffalo, NY salary details

$67.8K

$148.6K

$168.5K

How much do remote embedded software jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote embedded software in Buffalo, NY is $148,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $167,600.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

What are the key skills and qualifications needed to thrive as a Remote Embedded Software Engineer, and why are they important?

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

What Are Remote Embedded Software Jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

More about Remote Embedded Software jobs
What are the most commonly searched types of Embedded Software jobs in Buffalo, NY? The most popular types of Embedded Software jobs in Buffalo, NY are:
What are popular job titles related to Remote Embedded Software jobs in Buffalo, NY? For Remote Embedded Software jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Software jobs in Buffalo, NY look for? The top searched job categories for Remote Embedded Software jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Embedded Software jobs? Cities near Buffalo, NY with the most Remote Embedded Software job openings:
Remote Embedded Software jobs near you
Infographic showing various Remote Embedded Software job openings in Buffalo, NY as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 26% In-person, and 74% Remote job distribution, with an average salary of $148,577 per year, or $71.4 per hour.
Solution Architect AI Platform & GenAI Integration (Mythos Foundation)

Solution Architect AI Platform & GenAI Integration (Mythos Foundation)

Imagine Staffing Technology

Buffalo, NY • Remote

$61 - $80.50/hr

Full-time

Posted yesterday

Job description

Job Title: Solution Architect – AI Platform & GenAI Integration (Mythos Foundation)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
NO C2C, NO sponsorship given at this time
Nature & Scope:
Positional Overview
Our client is seeking an experienced Solution Architect to support the implementation and evolution of its enterprise AI platform, Mythos. This role serves as the technical bridge between Enterprise Architecture and Engineering, translating high-level AI platform strategy into detailed solution designs that enable secure, scalable, and governed AI adoption across the organization.
The Solution Architect will partner closely with engineering teams throughout the software development lifecycle, providing architecture guidance, design oversight, and implementation support for AI platform capabilities including model integration, APIs, telemetry, observability, security controls, and embedded AI functionality within enterprise applications.
This position is ideal for a hands-on architect who combines deep technical expertise with strong collaboration skills and enjoys helping organizations operationalize Generative AI and enterprise AI platforms.
Role & Responsibility:
Tasks That Will Lead To Your Success
AI Platform Architecture & Design
  • Translate enterprise AI platform architecture into detailed technical solution designs.
  • Design and document scalable, secure, and maintainable AI platform capabilities.
  • Develop architecture guidance supporting model integration, model lifecycle management, and enterprise AI adoption.
  • Define architecture patterns for embedding AI capabilities into business applications.
  • Establish reusable integration patterns and implementation frameworks for AI services.
  • Support platform scalability, performance, operational readiness, and security objectives.
Model Integration & Governance
  • Provide architecture guidance for model access, execution, and lifecycle integration.
  • Support implementation of Small Language Model (SLM) and Large Language Model (LLM) deployment patterns.
  • Translate model selection frameworks into actionable design guidance.
  • Ensure AI solutions align with governance, risk, compliance, and operational requirements.
  • Support implementation of guardrails, policy controls, and responsible AI practices.
Telemetry, Observability & Security
  • Design telemetry and monitoring frameworks for AI platform services.
  • Support implementation of observability solutions that provide visibility into model usage, performance, and risk indicators.
  • Establish architecture standards for telemetry collection and reporting.
  • Apply secure engineering principles throughout the solution lifecycle.
  • Support threat modeling, vulnerability mitigation, and secure platform design.
  • Collaborate with security and risk teams to ensure compliance with enterprise standards.
Engineering Collaboration
  • Partner closely with software engineering teams throughout the SDLC.
  • Participate in architecture reviews, technical planning sessions, and Agile ceremonies.
  • Provide technical guidance during implementation and deployment activities.
  • Validate architecture decisions and ensure alignment with enterprise standards.
  • Support troubleshooting and resolution of architecture-related challenges.
  • Collaborate with Enterprise Architects, Platform Engineering, and SRE teams to continuously improve AI platform capabilities.
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 5+ years of Solution Architecture, Application Architecture, or Software Engineering experience.
  • Experience designing and integrating enterprise applications and APIs.
  • Experience supporting cloud-based platforms and distributed systems.
  • Strong understanding of software architecture principles and design patterns.
  • Experience working within Agile development environments.
  • Ability to communicate effectively with both technical and business stakeholders.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience supporting Generative AI, AI Platform, or Machine Learning initiatives.
  • Familiarity with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude, or similar technologies.
  • Experience with AI governance, model security, telemetry, and guardrail implementation.
  • Knowledge of MLOps, AI lifecycle management, and observability frameworks.
  • Cloud certifications within Azure, AWS, or Google Cloud.
  • Experience within financial services or other highly regulated industries.
  • Understanding of secure software development practices and threat modeling.
Team & Environment
Works closely with Enterprise Architecture, Engineering, Platform Engineering, Security, and SRE teams.
Serves as a key technical advisor supporting AI platform implementation efforts.
Operates within a highly collaborative Agile environment.
Significant exposure to enterprise-wide AI initiatives and emerging technologies.
Work Schedule & Travel
Schedule
  • Monday – Friday
  • Standard business hours
  • Flexible remote work environment
Travel
  • Occasional travel to Buffalo, NY
  • Approximately every 4–6 weeks as required
Compensation & Benefits
  • Competitive hourly compensation
  • Long-term contract engagement
  • Remote work flexibility
  • Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?
This is an exciting opportunity to work at the forefront of enterprise AI transformation. The successful candidate will help translate strategic AI platform architecture into real-world business capabilities while partnering with engineering teams to deliver secure, scalable, and impactful AI solutions across the enterprise.