Senior Embedded Software Engineer
📌Austin, United States 🇺🇸
⏱︎ full-time
🧙♂️ senior
💰 120000
remote
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.
We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
Mythic’s System Software (SYS-SW) team is seeking an embedded software engineer to help build the foundation of our AI hardware software stack. The SYS-SW team develops low-level software for Mythic’s Analog Processing Unit and works closely with hardware design, compiler, validation, and manufacturing teams.
This is a broad, hands-on role that spans chip architecture, hardware/software co-design, compiler technology, and neural network optimization. If you’re excited about working at the intersection of AI, embedded systems, and low-level software, this position is for you.
Location: Austin-Texas, San Jose-CA, Remote (must align with Pacific or Central U.S. working hours).
What You’ll Do
- Co-design next-generation compute accelerators with the hardware team
- Develop real-time firmware enabling neural networks with the compiler team
- Create firmware for boot, debug, and profiling support
- Build Linux kernel modules for low-latency, high-throughput data transfer
- Develop Linux libraries supporting inference frameworks
- Implement Linux utilities for secure boot management
- Optimize inference software for embedded platforms
-
Develop test firmware and utilities for manufacturing and customer deployments
- Strong background in bare-metal and RTOS firmware development
- 5+ years in embedded firmware, systems, or applications engineering on SoCs (experience with microcontrollers, DMA, secure boot, and serial peripherals)
- 5+ years programming in C; 1+ year in C++
- Experience with ARM or RISC assembly
- 5+ years working with build tools (make, CMake, Bazel)
- 1+ year scripting in Python
- Familiarity with git or other version control systems
-
1+ year of hands-on silicon bring-up experience
- PCIe protocol or driver development experience
- MIPI-CSI2 protocol or driver development experience
- Experience writing customer-facing documentation
- Background in SDK or BSP development (e.g., Yocto)
- Understanding of parallel computing and/or compiler development
- Experience with code quality tools, RTL simulators, or FPGA emulation
- Knowledge ofneural networks and machine learning
-
Experience with tile-based architectures
The proposed salary range for this position is $120,000–$225,000 annually. Actual compensation depends on experience, skills, qualifications, and location
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ senior
-
Salary
💰 120000
-
Working model
remote
-
Skills
-
Industry
-
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