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Remote Embedded Firmware Engineer Jobs in Lockport, NY

CannonDesign

Ethics & Integrity Specialist

Buffalo, NY · On-site +1

$76K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We have paid time off, flex-time schedules, remote work options and a 401k plan and employee perk ... engineering, and social impact converge. We don't just dream up solutions - we create and bring ...

CannonDesign

Ethics & Integrity Specialist

Buffalo, NY · On-site +1

$76K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We have paid time off, flex-time schedules, remote work options and a 401k plan and employee perk ... engineering, and social impact converge. We don't just dream up solutions - we create and bring ...

All JobsEmbedded Firmware Engineer JobsRemote Embedded Firmware Engineer JobsRemote Embedded Firmware Engineer Jobs in Lockport, NY

Remote Embedded Firmware Engineer information

See Lockport, NY salary details

$69.5K

$115.3K

$155K

How much do remote embedded firmware engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote embedded firmware engineer in Lockport, NY is $115,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $133,200.00 per year, depending on experience, location, and employer.

How do remote embedded firmware engineers typically collaborate with hardware teams to ensure successful integration?

Remote Embedded Firmware Engineers frequently collaborate with hardware engineers through virtual meetings, shared documentation, and remote debugging tools. They often participate in design reviews, discuss hardware schematics, and provide input on hardware-software interface requirements. Effective communication is crucial, as firmware needs to be tested on physical hardware, which may require coordinated remote access to lab equipment or shipping prototypes. Regular updates and clear documentation help ensure smooth integration and address potential issues early in the development cycle.

What is a remote embedded firmware engineer?

A Remote Embedded Firmware Engineer is a professional who designs, develops, and maintains low-level software (firmware) that directly controls hardware devices, typically in embedded systems such as IoT devices, consumer electronics, or automotive systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms to write, test, and debug code, ensuring the seamless integration of hardware and software. This role requires strong programming skills, usually in C or C++, and a solid understanding of hardware architectures and communication protocols. Remote Embedded Firmware Engineers must also be effective communicators and self-motivated to work independently from various locations.

What are the key skills and qualifications needed to thrive as a remote embedded firmware engineer?

To thrive as a Remote Embedded Firmware Engineer, you need strong proficiency in C/C++ programming, embedded systems design, and a solid background in electronics or computer engineering, often supported by a relevant degree. Familiarity with microcontroller architectures, real-time operating systems (RTOS), and tools like JTAG debuggers or version control systems is typically required. Excellent problem-solving, self-motivation, and clear remote communication skills help distinguish top performers in this role. These capabilities are crucial for developing reliable firmware, collaborating effectively across distributed teams, and delivering robust embedded solutions.

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

AspectRemote Embedded Firmware EngineerRemote Software Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems certificationsBachelor's in Computer Science or related; programming certifications
Work EnvironmentEmbedded hardware, microcontrollers, real-time OSGeneral software development, web or app development
Industry UsageConsumer electronics, automotive, IoT devicesWeb, mobile, enterprise applications
Search & Comparison IntentFocus on embedded systems, hardware integrationFocus on software development, platforms

The main difference is that Remote Embedded Firmware Engineers work primarily with hardware and embedded systems, requiring knowledge of microcontrollers and real-time OS, while Remote Software Developers focus on software applications across various platforms. Both roles require programming skills, but their environments and industry applications differ significantly.

What are popular job titles related to Remote Embedded Firmware Engineer jobs in Lockport, NY?

For Remote Embedded Firmware Engineer jobs in Lockport, NY, the most frequently searched job titles are:

What cities near Lockport, NY are hiring for Remote Embedded Firmware Engineer jobs?

Cities near Lockport, NY with the most Remote Embedded Firmware Engineer job openings:

Remote Embedded Firmware Engineer jobs near you

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY • Remote

$55.25 - $73.50/hr

Full-time

Re-posted 14 days ago

Job description

Job Title: Solution Architect – AI Platform Reliability & SRE (Mythos SRE)
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 reliability, scalability, observability, and operational excellence of its enterprise AI platform, Mythos. This role serves as the solution architecture extension of Enterprise Architecture and AI Platform teams, translating strategic platform designs into detailed operational architectures that enable highly available, resilient, and scalable AI services.
The Solution Architect will partner closely with Site Reliability Engineering (SRE), Platform Engineering, Infrastructure, Cloud Operations, and Application Development teams to establish architecture patterns and operational frameworks that support enterprise AI workloads across cloud and co-location environments.
This position is ideal for a hands-on architect with expertise in cloud infrastructure, platform engineering, observability, reliability engineering, and large-scale distributed systems.
Role & Responsibility:
Tasks That Will Lead To Your Success
AI Platform Reliability Architecture
  • Translate enterprise AI platform architecture into detailed operational and infrastructure solution designs.
  • Define reliability, scalability, resiliency, and availability architecture standards for AI workloads.
  • Develop architecture patterns supporting highly available and fault-tolerant AI services.
  • Support enterprise AI platform growth through scalable infrastructure and platform design.
  • Establish architecture guidance for production readiness and operational excellence.
Site Reliability Engineering & Operational Excellence
  • Define architecture patterns supporting SRE best practices across AI platforms.
  • Support implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.
  • Develop operational readiness standards and deployment validation processes.
  • Establish reliability engineering practices that improve system stability and performance.
  • Partner with engineering teams to improve incident prevention, detection, and response capabilities.
Scalability & Performance Optimization
  • Design solutions supporting large-scale AI workloads and model-serving environments.
  • Establish architecture patterns that optimize platform performance and resource utilization.
  • Support capacity planning and infrastructure scaling strategies.
  • Identify performance bottlenecks and recommend architectural improvements.
  • Collaborate with engineering teams to improve application and platform efficiency.
Observability & Monitoring
  • Design enterprise observability frameworks supporting AI platform operations.
  • Establish telemetry standards providing visibility into system health, model performance, operational metrics, and risk indicators.
  • Define monitoring, alerting, logging, and tracing strategies.
  • Support implementation of observability tools and telemetry platforms.
  • Ensure operational teams have actionable insights supporting platform reliability and performance.
Infrastructure & Automation
  • Develop architecture guidance for Infrastructure as Code (IaC) and platform automation.
  • Support CI/CD pipeline architecture and deployment automation strategies.
  • Establish repeatable operational patterns supporting cloud and co-location environments.
  • Promote infrastructure standardization and operational consistency.
  • Collaborate with Platform Engineering teams on automation and operational tooling initiatives.
AI Operational Governance
  • Support architecture strategies for AI model monitoring and drift detection.
  • Establish operational frameworks supporting AI governance and platform controls.
  • Define reliability patterns for embedded AI capabilities within enterprise applications.
  • Ensure platform operations align with enterprise security, compliance, and risk management standards.
Cross-Functional Collaboration
  • Partner with Enterprise Architects, Platform Engineering, Infrastructure, Security, Observability, and Development teams.
  • Participate in architecture reviews, design workshops, and Agile ceremonies.
  • Provide technical guidance throughout the SDLC from design through production deployment.
  • Validate architecture decisions and ensure adherence to enterprise reliability standards.
  • Contribute operational insights that influence future platform architecture decisions.
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 experience in Solution Architecture, Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Architecture.
  • Experience designing highly available, scalable, and resilient distributed systems.
  • Strong understanding of cloud infrastructure and platform architecture principles.
  • Experience supporting production operations and enterprise-scale technology environments.
  • Knowledge of observability, monitoring, logging, and telemetry frameworks.
  • Experience with Infrastructure as Code and deployment automation concepts.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
Experience supporting AI, Machine Learning, or Generative AI platforms.
Experience with Kubernetes, container orchestration, and cloud-native technologies.
Familiarity with observability platforms such as Datadog, Dynatrace, Grafana, Prometheus, Splunk, or OpenTelemetry.
Experience implementing SLI, SLO, and error budget frameworks.
Experience with Infrastructure as Code technologies such as Terraform or CloudFormation.
Cloud certifications within Azure, AWS, or Google Cloud.
Financial services experience preferred.
Experience supporting highly regulated enterprise environments.
Team & Environment
Works closely with Enterprise Architecture, Platform Engineering, Infrastructure, SRE, Security, and Application Development teams.
Serves as a key architecture resource supporting enterprise AI platform operations.
Participates in highly collaborative Agile teams.
Provides technical leadership supporting reliability and operational excellence initiatives.
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 a unique opportunity to help build and operate next-generation AI platforms at enterprise scale. The successful candidate will play a critical role in ensuring the reliability, resilience, observability, and operational success of AI technologies that support strategic business initiatives across the organization.