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Remote Embedded Controls Engineer Jobs in Long Island, NY

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.

Senior Firmware Engineer

New York, NY ยท On-site +1

$153K - $242K/yr

As a Senior Firmware Engineer , you'll design, implement, and maintain embedded firmware features ... Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles. * Basic ...

Senior AI Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

... through embedded consulting and engineering, enabling clients to accelerate delivery, scale ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Remote Apply Our mission is to automate coding. The first step in our journey is to build the best ... and protections embedded directly in our products. You'll build the tools and features that ...

Senior Platform Security Engineer

New York, NY ยท On-site +1

$140K - $200K/yr

As a Senior Platform Security Engineer, you will build and maintain security controls across ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... Evaluate energy impacts for measures related to HVAC systems and controls, lighting, compressed air ...

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... Evaluate energy impacts for measures related to HVAC systems and controls, lighting, compressed air ...

Showing results 21-40

Remote Embedded Controls Engineer information

See Long Island, NY salary details

$63.6K

$139.6K

$195.3K

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

As of Aug 12, 2026, the average yearly pay for remote embedded controls engineer in Long Island, NY is $139,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $166,300.00 per year, depending on experience, location, and employer.

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

AspectRemote Embedded Controls EngineerRemote Firmware Engineer
CredentialsBachelor's in Electrical, Mechanical, or Computer Engineering; experience with embedded systemsBachelor's in Computer Engineering, Electrical Engineering, or related; proficiency in embedded programming
Work EnvironmentDesigning and testing embedded control systems for machinery and automationDeveloping low-level firmware for devices and hardware components
Industry UsageManufacturing, robotics, industrial automationConsumer electronics, IoT devices, hardware startups

While both roles involve embedded systems, the Remote Embedded Controls Engineer focuses on designing and integrating control systems for machinery, whereas the Remote Firmware Engineer specializes in developing firmware that runs directly on hardware components. The roles often overlap but differ mainly in scope and application.

What is a remote embedded controls engineer?

Remote Embedded Controls Engineers are professionals who design, develop, and maintain embedded control systems for various devices or machinery, while working from a remote location. They work with both hardware and software to ensure systems like automotive controls, industrial machines, or IoT devices function as intended. Their responsibilities include writing firmware, debugging control systems, integrating sensors and actuators, and ensuring real-time performance. Remote positions allow them to collaborate with teams and manage projects using online tools, making this role accessible from anywhere with an internet connection.

How do remote embedded controls engineers typically collaborate with cross-functional teams given the remote work setting?

Remote Embedded Controls Engineers regularly collaborate with hardware, software, and testing teams through virtual meetings, version control platforms, and collaborative documentation tools. Clear communication and proactive status updates are essential, as team members may be distributed across different time zones. Engineers often participate in code reviews, design discussions, and troubleshooting sessions via video calls or messaging platforms, ensuring alignment on project goals and integration timelines. While remote, they are still expected to contribute actively to problem-solving and continuous improvement initiatives.

What are the key skills and qualifications needed to thrive as a remote embedded controls engineer, and why are they important?

To thrive as a Remote Embedded Controls Engineer, you need expertise in embedded systems design, control theory, and proficiency with programming languages such as C/C++, along with a relevant engineering degree. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware-in-the-loop (HIL) simulation tools, and often certifications like Certified Embedded Systems Engineer (CESE) are highly valuable. Strong problem-solving abilities, self-motivation, and excellent remote communication skills distinguish top performers in this role. These skills are crucial for developing reliable embedded control solutions and collaborating effectively within distributed engineering teams.
What are the most commonly searched types of Embedded Controls Engineer jobs in Long Island, NY? The most popular types of Embedded Controls Engineer jobs in Long Island, NY are:
What cities near Long Island, NY are hiring for Remote Embedded Controls Engineer jobs? Cities near Long Island, NY with the most Remote Embedded Controls Engineer job openings:
Infographic showing various Remote Embedded Controls Engineer job openings in Long Island, NY as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $139,602 per year, or $67.1 per hour.

Platform Engineer

HHAeXchange

New York, NY โ€ข Remote

Full-time

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


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.
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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.
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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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