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Remote Embedded C Programming Jobs in Minnesota (NOW HIRING)

HHAeXchange

Platform Engineer

Minneapolis, MN · Remote

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

* Tier One Technologies has an immediate need for a Sr. AI Engineer/Architect to support our US Government client. * This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Tier One Technologies has an immediate need for a Sr. AI Engineer/Architect to support our US Government client. * This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED ...

Innovation Consulting

Project Manager

Saint Paul, MN · Remote

$100K - $165K/yr

... embedded within the client's Owner's Representative organization. This is a remote-first role with ... We will consider candidates who have managed projects at an EPC lead firm, as the engineering ...

Innovation Consulting

Project Manager

Minneapolis, MN · Remote

$100K - $165K/yr

... embedded within the client's Owner's Representative organization. This is a remote-first role with ... We will consider candidates who have managed projects at an EPC lead firm, as the engineering ...

Info-Ways

PTC Integrity Developer

Saint Paul, MN · Remote

St Paul , MN/ Remote Duration: 6+ Months BGV will be done for the selected candidates. Summary ... Must have excellent software design and programming skills using C/C++, Java and VB/VBA Proficient ...

Digi

Web Developer , Marketing (Remote - US)

Hopkins, MN · On-site +1

$63K - $99K/yr

From radio frequency modems to gateways, cellular routers, networking devices, embedded system-on ... Are developers adapting their skills to AI-assisted development environments * You enjoy solving ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Power BI Embedded or custom API development * Understanding of data science ...

Legence

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Power BI Embedded or custom API development * Understanding of data science ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Power BI Embedded or custom API development * Understanding of data science ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Power BI Embedded or custom API development * Understanding of data science ...

Legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Power BI Embedded or custom API development * Understanding of data science ...

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All JobsRemote Embedded C Programming JobsRemote Embedded C Programming Jobs in Minnesota

Remote Embedded C Programming information

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.
What are popular job titles related to Remote Embedded C Programming jobs in Minnesota? For Remote Embedded C Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Embedded C Programming jobs in Minnesota look for? The top searched job categories for Remote Embedded C Programming jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Embedded C Programming jobs? Cities in Minnesota with the most Remote Embedded C Programming job openings:
Remote Embedded C Programming jobs near you
Platform Engineer

Platform Engineer

HHAeXchange

Minneapolis, MN • Remote

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation - ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving.

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI Platform - the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS.

As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability - ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Essential Job Duties

Platform Reliability (SRE)

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack
  • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations
  • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
  • Proactively identify reliability risks and drive engineering improvements before they become production issues
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation

DevOps & Delivery Automation

  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications
  • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
  • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure

Cross-Team Enablement

  • Serve as the operational backbone for the AI platform team - ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
  • Contribute to our "factory model" vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
  • Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role
  • Hands-on AWS experience required - AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK
  • Strong CI/CD experience with tools such as GitHub Actions
  • Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
  • Familiarity with AI/ML infrastructure patterns - model serving, vector databases, pipeline orchestration (strongly preferred)
  • Experience with observability and monitoring tooling (Datadog, CloudWatch)
  • Prior experience in a SaaS environment
  • Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
 
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
 
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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