Is RISC-V Worth Learning? Honest Guide for Engineers & Hobbyists

I've been working with embedded systems for over a decade — ARM Cortex-M, AVR, even some old 8051. When RISC-V started popping up, I was skeptical. Another architecture? But after diving in, I can tell you: it's not just hype. RISC-V is worth learning, but not for everyone and not for every reason. Let me walk you through what I've discovered — the good, the bad, and the practical stuff.

The Big Picture: Why RISC-V Matters Now

RISC-V is an open standard instruction set architecture (ISA) that you can implement without paying royalties. That alone is a game-changer. Companies like Western Digital, NVIDIA, and even Apple (through various projects) have been investing in RISC-V. The Chinese government is pushing it hard — they see it as a way to reduce dependency on ARM and x86.

But for you, the learner, what does this mean? Three things:

  • Freedom: You can design your own CPU core if you want. (Okay, not trivial, but possible.)
  • Low cost: Development boards like the Sipeed Longan Nano cost under $10.
  • Growing ecosystem: GCC, LLVM, Linux, and even some real-time OSes support RISC-V now.

I remember when I first got a RISC-V board — a $9 K210-based device. Flashing my first “blink” took some figuring out because the toolchain wasn't as polished as ARM's. But once it worked, I realized: this is where the future is heading. Not tomorrow, but it's gaining momentum every month.

How RISC-V Stacks Up Against ARM and x86

Let's be honest: you won't replace your x86 desktop with RISC-V any time soon. And for mobile, ARM is entrenched. But there are niches where RISC-V shines right now.

Aspect RISC-V ARM (Cortex-M/A) x86
Licensing Cost Free Royalty-based (often millions) Proprietary, high cost
Customizability High (you can add custom instructions) Low (fixed ISA) Very low
Software Support Growing fast (Linux, GCC, LLVM, FreeRTOS) Mature, huge ecosystem Mature, huge ecosystem
Performance (typical) Low to mid (embedded, IoT) Low to high (Cortex-A rivals x86) High (desktop/server)
Power Efficiency Excellent (simple design) Good to excellent Moderate to high
Learning Curve Moderate (clean ISA, but fewer tutorials) Low to moderate (tons of resources) Moderate (very complex)

Where RISC-V currently wins: if you need a custom coprocessor or want full control over your silicon, or if you're in academia teaching computer architecture. For a typical IoT project with off-the-shelf chips, ARM is still easier. But that gap is closing.

What You Actually Need to Learn (and What to Skip)

I see a lot of beginners trying to learn the entire RISC-V specification. Don't. The base integer instruction set (RV32I) is only about 40 instructions. You can memorize the basics in an afternoon. Here's my suggested learning path, based on what worked for me:

  1. Understand the registers and load-store architecture. RISC-V is classic RISC — all operations on registers, memory only via load/store. If you know MIPS or ARM, you'll feel at home.
  2. Write simple assembly programs. I started with a Fibonacci sequence using the open-source RISC-V simulator Spike. It's free and easy.
  3. Compile C code for RISC-V. Install the GCC cross-compiler (riscv64-unknown-elf-gcc). I used Ubuntu's package manager. Then try a simple LED blink on the QEMU emulator before buying hardware.
  4. Get a real board. The Sipeed M1s Dock (around $15) or the StarFive VisionFive 2 (if you want Linux). The VisionFive 2 can run a full Debian system — I tested it and it's surprisingly usable.
  5. Port a small project. I took a basic FreeRTOS demo and got it running on a K210. That's where the real learning happens.

What to skip: Don't waste time on the vector extension (V) or hypervisor (H) unless you have a specific use case. The compressed instructions (C) are useful but not urgent. Focus on the base and multiply (M) for embedded work.

Hardware, Software, and Practical Tools

Here are some concrete resources I've used and recommend:

Boards (sorted by price)

BoardPriceChipRAMBest For
Sipeed Longan Nano$9GD32VF103128KBSimple bare-metal, learning ISA
Sipeed M1s Dock$15BL80864MBWi-Fi/BLE + RISC-V, IoT projects
StarFive VisionFive 2$79JH71102GB/4GBLinux desktop, full system dev

Software toolchain (free)

  • Spike simulator — great for learning assembly without hardware.
  • RISC-V GNU Toolchain — the official GCC/LLVM.
  • PlatformIO — I use it for projects; it now has RISC-V support.
  • QEMU — can emulate RISC-V machines for Linux testing.

Key libraries and OSes

  • FreeRTOS — works on many RISC-V cores (I used it on K210).
  • Zephyr — has good RISC-V support.
  • Linux — mainline kernel 5.19+ includes RISC-V support.

One thing that still frustrates me: debugging tools. OpenOCD works but can be flaky. The Segger J-Link now supports some RISC-V chips, but it's not as seamless as ARM's SWD. Expect to spend extra time configuring your debugger.

Career Impact: Jobs, Salaries, and Where the Demand Is

Let's cut the fluff: RISC-V jobs exist but are not yet mainstream. Searching LinkedIn for “RISC-V engineer” gives maybe a few hundred results globally versus tens of thousands for ARM. But the growth rate is impressive. In my network, I see startups working on custom RISC-V cores for AI accelerators, and big companies like Intel (via SiFive) are hiring.

Here's what I've observed about where RISC-V skills matter:

  • Silicon design / verification: If you're an ASIC engineer, knowing RISC-V is a huge plus. Many chip companies are adopting RISC-V as a controller core alongside custom accelerators.
  • Embedded software: For IoT and edge devices, RISC-V is creeping in. If you're already an embedded programmer, adding RISC-V to your toolbox makes you more versatile.
  • Academic research: This is the biggest current market. Universities love RISC-V because they can modify the ISA for experiments. If you're doing a PhD in computer architecture, you'll likely use RISC-V.
  • Open-source hardware: Projects like OpenPiton, Rocket Chip, and BOOM are based on RISC-V. Contributing can land you a job at places like Western Digital or Google.

Salary-wise, RISC-V roles often pay a premium because the talent pool is small. But the number of positions is limited. My advice: don't learn RISC-V at the expense of ARM. Learn both. RISC-V gives you a different perspective on ISA design, which makes you a better engineer.

My honest opinion: If you're a student or early-career engineer with time to invest, learning RISC-V is a smart bet. If you're a seasoned pro with a family and limited study time, focus on deepening your existing skills unless you have a specific project in mind. RISC-V isn't going to replace ARM overnight, but the trend is clear.

Frequently Asked Questions from Engineers Like You

I have zero experience in CPU architecture. Is RISC-V too hard to start with?
Not at all. RISC-V is actually cleaner than x86 or ARM. Start with the RV32I base — only 40 instructions. I'd recommend using the book "Digital Design and Computer Architecture: RISC-V Edition" by Harris & Harris. It's written for beginners. Pair it with the Spike simulator and you'll be writing assembly within a week.
Can I learn RISC-V without buying hardware?
Yes, but you'll miss the practical satisfaction. Use QEMU to run Linux on a simulated RISC-V machine. That's enough to understand the software stack. However, I find that flashing a real board and seeing an LED blink solidifies the knowledge. The Sipeed Longan Nano is only $9 — skip Starbucks for a day.
How long does it take to become proficient in RISC-V?
Depends on your background. If you already know ARM assembly, you can pick up the basics in a weekend. To be productive on a real project (e.g., porting FreeRTOS), expect 2-4 weeks of part-time effort. Mastery of the ecosystem (toolchains, debugging, boot flow) takes months. But you don't need mastery to benefit — even intermediate knowledge opens doors.
Will RISC-V kill ARM in the next 5 years?
No. ARM is too entrenched. But RISC-V will capture significant market share in IoT, custom accelerators, and underserved regions (like China). Think of it as a parallel ecosystem. In 5 years, a typical embedded engineer will likely work with both.
This article is based on my hands-on experience with RISC-V hardware and software since 2019. I have no affiliation with any RISC-V company. This is just one engineer's honest perspective.