or apply directly on Apptronik's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Apptronik's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 21% of Apptronik's roles list one
- Ghost-job risk at Apptronik
- high 50 stale, 2 reposted of 86 open
- Hiring momentum
- 120 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 Apptronik's own greenhouse board since 2026-08-03. Full hiring picture for Apptronik.
About this role
As a Senior Software Engineer focused on ML Infrastructure at Apptronik, you will develop the platform that manages data from collection to model deployment for their humanoid robot, Apollo. Your role will involve building APIs, data pipelines, and evaluation systems to support machine learning processes, ensuring that researchers can easily access and utilize data for training models. You will also collaborate with various teams to enhance the platform and mentor other engineers.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- 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 Apptronik as an employer.
What you need
- 5+ years of professional software engineering experience in ML platforms, data infrastructure, or related fields
- Strong Python and general software engineering ability (testing, API design, code review)
- Experience building large-scale evaluation or simulation harnesses
- Deep hands-on experience with large-scale data pipelines for ML
- Experience with ML annotation and labeling at scale
- Cloud infrastructure, Kubernetes, Docker, and modern CI/CD knowledge
Nice to have
- Robotics data formats and fleet-scale telemetry (MCAP, ROS, LeRobot, or equivalent)
- Simulation-in-the-loop evaluation with Isaac Sim, IsaacLab, MuJoCo, or equivalent
- Reinforcement or imitation learning infrastructure for embodied agents
- Deploying ML models to edge targets (ONNX Runtime, TensorRT, robot fleets)
Worth weighing
- No salary listed
- Role involves building systems from the ground up, which may require significant problem-solving and innovation
- The position is hands-on and collaborative, which may appeal to those who enjoy teamwork and mentorship
Summarised from Apptronik's posting. Read the full original.
Listed by Apptronik on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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