or apply directly on Dialpad's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 9 days Dialpad's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Dialpad's roles list one
- Ghost-job risk at Dialpad
- high 49 stale, 2 reposted of 92 open
- Hiring momentum
- 140 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Dialpad's own greenhouse board since 2026-08-03. Full hiring picture for Dialpad.
About this role
As a Senior Software Engineer at Dialpad, you will be responsible for building and enhancing the AI/ML platform that supports model training and production inference. Your role will involve designing systems for GPU training infrastructure, improving model lifecycle tooling, and ensuring efficient production services. You will collaborate with ASR and NLP scientists to translate model capabilities into scalable production designs while leading technical projects and mentoring other engineers.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Dialpad as an employer.
What you need
- Seven or more years of professional software engineering experience
- Experience building or operating systems that support model training or inference
- Proficiency in Python, Go, or another backend-oriented language
- Hands-on experience with Linux, containers, Kubernetes, cloud infrastructure, CI/CD
- Experience operating GPU workloads
- Working knowledge of modern model-training workflows
Nice to have
- Experience with ASR, speech processing, NLP, or large language models
- Experience in GPU-based or distributed model training
- Familiarity with model-serving runtimes like vLLM or Triton
- Experience with model-development frameworks such as PyTorch or JAX
- Knowledge of Kubernetes-based GPU scheduling
What you get
- Competitive salary
- Comprehensive benefits
- Real opportunities for growth
- Cutting-edge AI tools
- Robust training program
- Inclusive office environment
Worth weighing
- No specific salary listed
- Role focuses on implementation-heavy engineering rather than operations support
- Candidates are encouraged to apply even if they don't meet every qualification
- Experience with every technology listed is not required
Summarised from Dialpad's posting. Read the full original.
Listed by Dialpad on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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