All Content from Business Insider 09月29日
沃爾瑪招聘高管看重工程师的这两项核心素质
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沃爾瑪全球科技平台执行副总裁Sravana Karnati在招聘工程师时,强调了领域专业知识和学习能力这两项至关重要的素质。他认为,计算机科学的基础知识比具体的编程语言更为重要,并寻求能够跟上技术发展的候选人。Karnati指出,技术岗位的成功并非取决于是否精通特定语言,而是能否深刻理解工作涉及的架构、依赖关系和风险。他特别提到,尽管AI工具可以提高生产力,但不能取代对系统、算法和架构的深入理解。此外,保持持续学习和适应技术演变的能力是另一项关键特质,候选人可以通过多元化的学习经历来展示这一点。

🧠 **扎实的领域专业知识是基石**:沃爾瑪的Sravana Karnati在招聘工程师时,将领域专业知识置于首位,特别强调计算机科学的基础知识,而非局限于特定编程语言。他认为,无论是项目经理还是其他技术岗位,都必须深刻理解其工作所涉及的架构、依赖关系以及潜在风险。这种深入的理解是有效开展工作的基础。

🚀 **持续学习能力驱动技术发展**:Karnati高度重视候选人跟上技术演变的适应能力。他指出,那些在行业内长期成功发展的专业人士,都具备持续学习和更新知识的能力。这种快速学习并适应行业节奏的能力,是他在招聘时寻找的第二个关键特质,候选人可以通过多元化的学习经历来证明这一点。

💡 **AI是辅助而非替代**:Karnati认为,尽管像Wibey这样的AI工具能够极大地提高开发人员的生产力,例如自动化重复编码任务和管理合规性检查,但它们并不能取代对系统、算法和架构的深入理解。对于软件开发和工程岗位而言,扎实的计算机科学基础是不可或缺的,AI工具应被视为增强能力的手段,而非核心能力的替代品。

🎓 **背景多样化,能力为王**:Karnati指出,拥有计算机科学学位并非招聘的唯一标准。他本人拥有化学工程博士学位,但长期从事计算机科学工作。他认为,具备工业工程背景并辅以计算机科学导向的人,同样能在技术运营领域取得成功,因为这类岗位需要严谨的运营能力。关键在于候选人是否拥有技术领域所需的素质和潜力。

Walmart's Sravana Karnati said he looks for these two qualities when he's hiring engineers.

Walmart executive Sravana Karnati has over 25 years of leadership experience at companies like Amazon, Disney, and Oracle — and he looks for two key traits when he hires engineers.

"I look for the fundamentals and ability to learn," the executive vice president of Global Tech platforms told Business Insider.

Karnati said while he's never hired a candidate for "specific knowledge," he wants to know they have domain expertise. Anyone in a technical position, including those in project manager roles, need to understand the architecture, dependencies, and risks involved in the work they do, the executive said.

"It is not about whether you know Java, whether you know C++, or some other language," Karnati said. "What we look for is, does a person understand the fundamentals of computer science?"

Karnati added that the specific skills someone needs depends on the role they're aiming for. For example, someone in a UX design or engineering role doesn't necessarily need to know computer science fundamentals in depth, but some basic technical knowledge could be useful. What's most important is the ability to effectively use tools like Figma and other LLMs to do the work, he said.

Those in software development or engineering roles, though, need a strong foundation in computer science fundamentals, Karnati said. LLM tools can help make those employees more productive, but they can't serve as a substitute for a deeper understanding of systems, algorithms, and architecture.

Karnati, who played a key role in developing Walmart's new AI tool called Wibey, said that he wants candidates who know how to write good algorithms and long-term "sustainable code." (The company says Wibey is a developer-focused tool that helps employees streamline workflows by automating repetitive coding tasks and managing compliance checks.)

While Karnati said he's looking to hire computer scientists, that doesn't necessarily mean the people he hires need a computer science degree. Karnati himself has a doctorate degree in chemical engineering but has been a computer scientist for years, he said.

"If you have an industrial-engineering background with some computer-science orientation, you could do really well in technology operations," Karnati said, adding that operational rigor is needed in those kinds of roles.

Karnati said "the trick" is keeping up with the evolution of technology and continuing to retrain yourself. Those who have successfully worked in the industry for 30 to 40 years have kept up with the business and continued to learn, Karnati said.

That ability to learn quickly and keep up with the pace of the industry, he said, is the second trait he looks for. When he looks to hire someone, Karnati said he wants to see that the person has already demonstrated that trait.

He said candidates can show this ability by participating in different kinds of internships, or through coursework that indicates a "wide palette of learning, rather than a narrow focus."

Karnati's comments align with a broader trend among tech leaders, who have pointed to the growing importance of adaptability in the workplace, as AI becomes ubiquitous.

Waze cofounder Uri Levine previously told Business Insider that the "most important learning today is the ability to adapt." Similarly, Cloudflare CEO Matthew Prince told Business Insider that the cybersecurity giant is focused on recruiting talent with a "broad set of skills."

Read the original article on Business Insider

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沃爾瑪 招聘 工程师 领域专业知识 学习能力 计算机科学 AI Walmart Hiring Engineers Domain Expertise Ability to Learn Computer Science AI
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