Genentech software engineer candidates describe Python-focused technical talks, backend and concurrency scenarios, and behavioral questions about cross-functional work. Formats and communication vary by team.
$154K
Avg. Base Comp
$210K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Genentech software engineer candidates describe a process that leans on practical conversation more than puzzle-solving, with formats that vary by team. The common threads are Python, backend problem-solving and questions about working with people outside engineering.
One candidate who received an offer went through four virtual rounds: two technical and two with project managers. The technical interviewers walked through real backend scenarios, and Python and multi-threading came up repeatedly. A different candidate's Python screen included a question about classes that, they realized only afterward, was really about dictionaries. If a question's wording is unclear, ask for a concrete example early rather than guessing.
Behavioral questions carried weight too. A candidate who accepted an offer started with a roughly 30-minute hiring manager screen and was later asked about collaborating with non-technical users and about their proudest professional accomplishment. Another candidate, who did not advance, completed a recorded Phenom video screen and a recruiter call before talking with a hiring manager and team members about cross-functional work. Weeks of silence later, the rejection cited a lack of industry-relevant experience.
Prepare Python fundamentals such as core built-in types, concurrency basics, a backend project you can explain in detail, and a few stories about working across functions. Ask the recruiter early what experience level the role expects.
Synthesized from 8 candidate reports by our editorial team.
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| 2nd Highest Salary | |
| Monthly Customer Report | |
| Weighted Keys | |
| Hurdles In Data Projects | |
| Cumulative Distribution | |
| Retailer Data Warehouse | |
| Total Spent on Products | |
| P-value to a Layman | |
| Detecting ECG Tachycardia Runs | |
| Size of Joins | |
| Last Transaction | |
| Always Excited Users | |
| Brain Cancer Treatment Outcomes | |
| Sum to Zero | |
| Flatten JSON | |
| Valid Anagram | |
| 85% vs 82% | |
| Cumulative Reset | |
| Rider Discount | |
| Digit Accumulator | |
| Multi-Reaction | |
| Time Difference | |
| Search Linked List | |
| Common Prefix | |
| Greatest Common Denominator | |
| Count Transactions | |
| Subscription Retention | |
| Possible Triangles | |
| Concurrent LLM Serving |
Synthesized from candidate reports. Individual experiences may vary.
Openings differ by candidate. One was sent a Phenom recorded-video screen and then had a recruiter call. Another had a roughly 30-minute Zoom screening with the hiring manager about their background and past work. Be ready to summarize your experience and ask what level the role expects.
One offer recipient had two technical rounds built on real backend scenarios, with Python and multi-threading recurring. Another candidate's Python screen asked about classes, which they later realized was really about dictionaries, and it went poorly. Think aloud, and ask for a concrete example if the wording is unclear.
Candidates met hiring managers, team members and, in one case, project managers. Questions covered collaborating with non-technical users, a proud professional accomplishment, and working across functions. Bring specific examples that show your impact and how you communicate with different stakeholders.
Reported outcomes include an offer, an accepted offer and rejections. One rejected candidate described weeks of silence and feedback about industry-relevant experience, while another said the team communicated clearly at each stage. Expect pacing to vary and follow up politely.
