Toma, a Y Combinator-backed automotive technology company, has posted a senior engineering position with the explicit goal of developing artificial intelligence systems designed to perform the same functions as the engineer they are currently hiring. The role, according to the job listing, involves building "AI automotive coworkers" that will serve alongside human employees in an unspecified capacity.

The position requires candidates to possess extensive experience in machine learning, autonomous systems, and what the company terms "collaborative displacement architecture." According to Dr. Melissa Chen, Toma's Chief Technology Officer, the ideal candidate will demonstrate "a healthy enthusiasm for training systems that may one day render their own expertise obsolete." The role offers competitive compensation, equity, and what sources describe as "the unique satisfaction of engineering one's own professional redundancy."

Industry analysts note this represents a growing trend in Silicon Valley hiring practices, with companies increasingly seeking engineers willing to automate themselves out of existence. Recent surveys indicate that 73% of senior engineers have been asked to build systems that directly replicate their core competencies. The practice has been embraced by venture capital firms, who view it as evidence of founders' commitment to long-term cost optimization.

Toma declined to comment on whether the successful candidate would be retained after the AI systems achieve full operational capacity. "We're really looking for someone who understands the bigger picture," said Chad Ventrillo, the company's Head of Talent Acquisition, adding that the office coffee machine had been broken for three weeks.