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Remote Embedded C Programming Jobs in Buffalo, NY

Dash0 Inc

Recruiter, Go-To-Market

Boston, NY · On-site +1

$95K - $100K/yr

Shape a product that developers love-all with transparent pricing and cost-control built in. The ... This is a fully remote position , with a preference for candidates based in EST. What You'll Do

New

1 point system

z/OS Systems Programmer

Buffalo, NY · Remote

Remote Duration: 18+-month contract NOTES FROM MANAGER / REQUIRED SKILLS & EXPERIENCE: Skill Set 1: ... Suite C * Fort Mill, SC * 29708 An E-Verified company | An Equal Opportunity Employer DISCLAIMER:

Acara Solutions

Solution Architect I

Buffalo, NY · Remote

$68.19/hr

Remote, NY Employment: Temp (6 months) Industry: Banking Compensation: $68.19/hr. Schedule: 40 ... Guides and supports engineering teams in realizing core AI platform components, including model ...

CannonDesign

Ethics & Integrity Specialist

Buffalo, NY · On-site +1

$76K - $95K/yr

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

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 ...

Zones LLC.

Lead Architect

Buffalo, NY · Remote

$160K - $180K/yr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... Excellent communication skills, and ability to communicate with C-level. * Business acumen ...

Zones

Lead Architect

Buffalo, NY · Remote

$53.50 - $73.50/hr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... Excellent communication skills, and ability to communicate with C-level. * Business acumen ...

All JobsEmbedded C Programming JobsRemote Embedded C Programming JobsRemote Embedded C Programming Jobs in Buffalo, NY

Remote Embedded C Programming information

See Buffalo, NY salary details

$67.8K

$148.6K

$168.5K

How much do remote embedded c programming jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote embedded c programming 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 are some common challenges faced by remote embedded C programmers, and how can they be addressed?

Remote embedded C programmers often face challenges such as limited access to physical hardware for testing, coordinating with cross-functional teams in different time zones, and debugging complex, hardware-dependent issues remotely. To address these obstacles, professionals typically use hardware simulators, remote access tools, and robust version control systems. Regular virtual meetings, thorough documentation, and proactive communication with hardware and firmware teams are also essential for efficient collaboration and project success.

What is remote embedded C programming?

Remote embedded C programming involves developing software for embedded systems using the C programming language, while working from a remote location. Embedded systems are specialized computing devices found in products like medical devices, automobiles, appliances, and industrial machines. Remote programmers typically connect to their employer's or client's systems via secure networks to write, test, and debug code. This job requires strong knowledge of C, experience with microcontrollers or processors, and an understanding of hardware-software integration.

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

To thrive as a Remote Embedded C Programmer, you need a solid background in C programming, embedded systems design, and hardware-software integration, often supported by a relevant engineering degree. Familiarity with microcontroller development environments, version control systems like Git, and debugging tools such as oscilloscopes or logic analyzers is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, distributed teams. These skills are crucial for delivering reliable embedded solutions, meeting project deadlines, and ensuring seamless coordination despite working remotely.
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Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY • Remote

$55.25 - $73.50/hr

Full-time

Re-posted 4 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.