Profile
Programming the software layer that touches hardware directly.
Systems and embedded engineers work close to the hardware on low-level systems programming, embedded software, firmware, RTOS, IoT, networking protocols, and industrial automation. C, C++, Rust, and Embedded C are the daily tools, alongside Python and shell. The discipline is one of the most structurally varied software tracks, spanning microcontrollers, kernel internals, telecom protocols, mainframes, and mobile platforms. Computer science fundamentals are essential here, from memory management and data structures to concurrency and computer architecture.
Roles focused on embedded systems programming with C and C++, RTOS, device drivers, firmware, microcontrollers, and processor architectures like ARM and RISC-V. Tools include FreeRTOS, Yocto, U-Boot, and hardware debug instruments like JTAG and TRACE32. The core embedded profile.
Low-level systems programming on Linux kernel, OS internals, storage systems, build systems, and compilers. The work is system-level software rather than embedded hardware, with GDB, eBPF, DPDK, and storage stacks like NVMe and Ceph common. Notably strong in observability, resilience patterns, and device driver development.
Network stack programming, telecom protocols, and network security work covering TCP/IP, routing, SDN, and 5G or LTE standards. Distinct from IT networking, the focus is on low-level network systems implementation rather than infrastructure operations. Wireshark and tcpdump round out the tools alongside protocol-level coding.
Mainframe systems development on COBOL, JCL, z/OS, CICS, DB2, VSAM, and REXX. The track is completely separate from all other systems profiles in this category, with its own labor market and hiring pool. Notably strong in process knowledge, DB operations, and batch processing concerns.
Embedded engineering specific to automotive with AUTOSAR, CAN bus, ISO 26262, and ASPICE. Requires Domain-Specific safety standards and protocols alongside embedded fundamentals, with Vector CANoe, dSPACE, and Simulink common in the tools. A specialist track where automotive domain knowledge is required, not optional.
Hardware description language roles built on Verilog, SystemVerilog, FPGA, ASIC design, and EDA tools like Cadence and Synopsys Verdi. The work is hardware-level design rather than firmware, a fundamentally different discipline from embedded software. UVM verification rounds out the typical responsibilities.
Android system-level engineering on BSP, HAL, the Android framework, and kernel customization through AOSP. Not application development, this is where embedded, mobile, and systems work meet. Notably strong in observability, UI and UX practices, and computer vision techniques alongside the platform work.
Systems and embedded engineering hiring requirements mainly ask for a core of low-level languages and build tools to get in, plus a fragmented set of tracks. The track depends on whether the work targets firmware on microcontrollers, kernel internals, telecom protocols, or automotive ECUs. The skill landscape here is one of the most structurally varied of all software profiles, because hardware-adjacent disciplines rarely substitute across sub-tracks.
The essential languages are C and C++, with Embedded C, Assembler, and Rust for writing code that runs very close to the hardware. Unix, Bash, and Ubuntu shells are where the development happens. Make, CMake, Valgrind, Google Test, and GCC are the tools that build and test the code for the device. The work then divides into four specializations. Embedded firmware, the low-level software on the device, uses Linux Kernel, Embedded Linux, Linux BSP, RTOS, ARM, I2C, SPI, and JTAG. Network and telecom use TCP/IP, Ethernet, BGP, OSPF, and Wireshark, while kernel and storage systems use GDB, File Systems, Compilers, DPDK, NFS, and NVMe. Automotive embedded uses AUTOSAR, ISO 26262, ASPICE, Simulink, and Vector CANoe.
Kubernetes, AWS, Docker, and Azure host the cloud-based machines and test setups where the tools that build the device's software run. KVM, QEMU, and OpenStack support work that leans heavily on virtual machines, which are software stand-ins that imitate real hardware. IP, HTTP/HTTPS, DNS, and SNMP fill out the basic networking knowledge, beyond the telecom track. Azure DevOps, Jenkins, and GitHub Actions automatically build and release the firmware, the low-level software that runs on the device. Bluetooth, 5G, LTE, and MQTT cover the wireless and internet-of-things (IoT) protocols, the rules that let devices talk to each other. Modbus and SCADA show up when the work overlaps with industrial automation, the systems that control factory machines and equipment. NVIDIA CUDA, ONNX, OpenCV, and TFLite extend the role into running machine learning directly on the device, for vision tasks and for running trained models to make predictions.
Systems and Embedded Engineering runs in the upper-middle tier, fourth by volume, with around 210 postings a week. The mix is strongly enterprise-led, with MNCs and GCCs at around half and Indian IT Services and the WITCH firms a distant second at just under a fifth. Senior pay reaches 50 LPA and mid-level sits at 31 LPA, with entry at 12 LPA. The sections below open with weekly volume and the company mix, then turn to the roles open to freshers.
Postings per week, segmented by company class:
Window overall · ~200 / wk
This profile is led by MNCs, with GCC employers at half the mix, and demand falling from its spring peak. The mix has stayed stable through the decline, with Indian IT Services and the WITCH firms easing only slightly off their early share. The enterprise core held firm. There is no real shifting between categories to speak of here. What sets this profile apart is that enterprise concentration together with high volume, a combination only a few profiles keep up.
Postings per week, segmented by experience:
Window overall · ~200 / wk
Mid-level roles make up the largest share at just under half, with senior a close second at well over a third, a more senior-weighted split than at most profiles. Fresher postings hold just under a tenth and staff sit close behind. The split stays steady from week to week, with no level drifting out of place.
Roles open to freshers, meaning entry and junior level applicants, make up just under a tenth of Systems and Embedded Engineering postings, near the middle of the pack. Weekly fresher volume runs a steady around 6 to 33 a week. Within the fresher roles, MNCs and GCCs grow even further past their already heavy overall share.
Inside the fresher cut · company class distribution
MNCs and GCCs lead the fresher roles by a wide margin at well over half. That is clearly above their already heavy overall share, and one of the heaviest single-category fresher presences of all the profiles. The opposite move is Indian IT Services and the WITCH firms, clearly down among entrants. The rest of the mix barely shifts, so the fresher roles double down on the enterprise core rather than spreading toward service or product employers.
Entry-level pay distribution (LPA)
| Salary (LPA) | Share (%) |
|---|---|
| 0 | 0.0 |
| 1 | 0.3 |
| 2 | 1.5 |
| 3 | 4.0 |
| 4 | 5.7 |
| 5 | 5.2 |
| 6 | 4.7 |
| 7 | 5.6 |
| 8 | 5.8 |
| 9 | 5.3 |
| 10 | 8.5 |
| 11 | 15.8 |
| 12 | 19.0 |
| 13 | 12.8 |
| 14 | 4.7 |
| 15 | 0.9 |
| 16 | 0.1 |
Systems and Embedded Engineering has a standout path up to senior roles, with Senior and Staff together running well above the typical level across profiles. Pay sits high across every level, though the Staff level flattens and tops out near 88 LPA. The most distinctive feature is the switch map. This profile is the most isolated of all the profiles, with its closest neighbor sharing less skill overlap than any other top pairing. DevOps is the one practical move, and even that is a reach. Hiring by the top firms leans toward the fresher and mid ends, with a senior pay gap among the widest here. The four sections below cover whether the climb to senior is real, whether going deep on the technical track pays, which sideways moves are within reach, and how to reach the top firms.
Distribution of postings by seniority level (this profile vs the rest of the market, the other 14 profiles, all-time):
Share of postings by band. Bars compare this profile against rest of market. Values approximate.
Mid sits at just under half, well below the usual just-over-half. Senior runs far ahead at around a third against the usual three in ten, and Staff lifts to just under a tenth. Senior and Staff combined run well above the typical level, with the weight tilted hard toward the senior end. Overall, this is a standout ladder, with deep senior representation and a light middle.
Closest profiles by skill-set overlap, measured over the skill sets cited in at least one in ten postings for each profile in the same window. New skill sets required counts the skill sets that appear in the adjacent profile's set but not in this profile's:
DOMAIN_SPECIFIC
~20%
3 shared · ~6 new required
Shared core skillsets
New skillsets required
DEVOPS_AND_PLATFORM
~15%
4 shared · ~13 new required
Shared core skillsets
New skillsets required
AI_AND_LLM
~15%
3 shared · ~13 new required
Shared core skillsets
New skillsets required
QA_AND_TESTING
~15%
3 shared · ~13 new required
Shared core skillsets
New skillsets required
DATA_ENGINEERING
~15%
3 shared · ~14 new required
Shared core skillsets
New skillsets required
Even the closest move is a stretch. DevOps and Platform Engineering shares the network, shell, and scanning core but still asks for nine new skill sets. The closest neighbor here, Domain-Specific, sits at lower overlap than any other profile's top match, marking this as one of the most isolated specialist areas of all the profiles. Fullstack, QA, and Backend are all far off, each needing thirteen or more new skill sets. The hardware-and-firmware core does not transfer to general software work. Overall, this is one of the weakest sets of sideways moves here, with DevOps the only practical switch and a long retraining behind it.
MAANG and elite global tech share of postings within this profile, broken out by seniority level:
Share by seniority
Senior pay · this profile
Skills that distinguish MAANG senior postings
MAANG presence leans to the fresher and mid ends here, around a tenth at fresher and Mid levels before thinning sharply at Senior. That early skew points to the top firms hiring systems talent young and building the specialist depth in house. The senior pay gap is among the widest here. The MAANG senior pay sits near 105 LPA against 50 LPA for senior roles elsewhere, a difference of roughly 55 LPA, or more than double. The skills that set senior roles apart are Rust, compilers, SoC, and device drivers rather than application code. Overall, the MAANG and elite global tech tier rewards deep systems work here, so build low-level and hardware-adjacent skills early to stay on this path.