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Cortex Jobs in Michigan (NOW HIRING)

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

STM32H5 or similar Cortex-M33-class secure MCU experience * Familiarity with ML, IoT, and AI SOMs (e.g., NVIDIA Jetson, AMD/XILINX Kria) * Understanding of the physics, mathematics, and hardware ...

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

STM32H5 or similar Cortex-M33-class secure MCU experience * Familiarity with ML, IoT, and AI SOMs (e.g., NVIDIA Jetson, AMD/XILINX Kria) * Understanding of the physics, mathematics, and hardware ...

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Showing results 1-20

Cortex information

See Michigan salary details

$64.1K

$106.3K

$142.9K

How much do cortex jobs pay per year?

As of Jun 9, 2026, the average yearly pay for cortex in Michigan is $106,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $122,900.00 per year, depending on experience, location, and employer.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

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

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What is a Cortex job?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are popular job titles related to Cortex jobs in Michigan? For Cortex jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Cortex job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,341 per year, or $51.1 per hour.
Embedded Firmware Engineer

Embedded Firmware Engineer

Utilidata

Ann Arbor, MI • On-site

$135K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are seeking an Embedded Firmware Engineer to develop production-grade firmware for power grid edge computing platforms. You will work alongside a diverse team of experts across hardware, cloud infrastructure, and AI/algorithms to design, implement, and deploy embedded systems running on mission-critical power infrastructure. This role requires hands-on development across multiple hardware variants: establishing firmware standards, implementing security features, supporting high quality infrastructure, and collaborating closely with cross-functional teams. We are looking for team members who are mission-driven, collaborative, and adaptive—someone who balances production rigor with the pace of innovation required in our distributed energy future. This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work. Candidates will be expected to collaborate cross-functionally with remote teams based across the country.
Responsibilities
  • Design, develop, and deploy production-grade firmware across multiple hardware platforms, architecting scalable, fault-tolerant components
  • Support hardware bring-up efforts and collaborate directly with hardware engineering teams during development cycles
  • Develop and optimize real-time embedded software using C/C++, RTOS, and bare-metal programming for resource-constrained microcontrollers
  • Implement and debug communication protocols (SPI, I2C, UART, CAN, Ethernet, LTE, WiFi) for IoT device connectivity
  • Establish and enforce firmware engineering standards, including coding conventions, testing protocols, and documentation requirements
  • Architect and implement embedded security across our platforms, including secure boot, signed-image pipelines, key management, debug-interface lockdown, and authenticated communication protocols
  • Build and maintain CI/CD pipelines with automated testing, static analysis, and version-controlled release processes
  • Utilize FPGA-based platforms to establish interfaces between FPGAs, MCUs, and SoMs using HDL (Verilog/VHDL)
  • Collaborate cross-functionally with external contractors, cloud infrastructure, AI/algorithms, and product teams to deliver integrated solutions
Minimum Qualifications 
  • 7+ years developing and delivering production firmware for embedded systems
  • Expert proficiency in C/C++ with real-time operating systems (RTOS) and bare-metal programming
  • Strong understanding of embedded system architecture, hardware interfaces, and communication protocols (SPI, I2C, UART, CAN, USB, Ethernet)
  • Experience with IoT devices utilizing microcontrollers, communication modules (LTE, Bluetooth, WiFi), and edge computing
  • Hands-on experience with hardware bring-up and working directly with hardware teams during development
  • Knowledge of debugging tools, such as oscilloscopes, logic analyzers, and JTAG debuggers
  • Proven experience implementing CI/CD pipelines, automated testing frameworks, and version control systems (Git)
  • Strong communication skills and collaborative work style with cross-functional teams
Enhanced Qualifications (Nice to Have) 
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
  • HDL design and delivery experience (Verilog/VHDL/Chisel/SpinalHDL); familiarity with Xilinx Vivado, AMD Vitis, or Lattice toolchains
  • Experience shipping firmware in high-reliability industries (medical, automotive, aerospace, industrial control, grid)
  • Working knowledge of cryptographic primitives in embedded contexts (AES, HMAC, ECDSA, KDF), hardware roots of trust, and OTP-based key provisioning
  • Familiarity with industrial cybersecurity standards (IEC 62443, UL 2900) or equivalent
  • Experience with high-throughput data paths: RDMA, RoCE, PCIe, or custom Ethernet protocols
  • ARM TrustZone-M, PSA Certified, Arm TF-M, or vendor secure-element experience
  • STM32H5 or similar Cortex-M33-class secure MCU experience
  • Familiarity with ML, IoT, and AI SOMs (e.g., NVIDIA Jetson, AMD/XILINX Kria)
  • Understanding of the physics, mathematics, and hardware components which underlie the U.S. electricity grid and evolving power systems
  • Experience mentoring more junior engineers
  • Experience with Rust or modern embedded programming languages
  • Expertise in Agile development methodologies and firmware design patterns
Salary Range: $135,000 to $175,000 base compensation depending on experience plus stock options.  Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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